{ "generated_at": "2026-09-24T02:15:44.131Z", "count": 222, "professors": [ { "type": "professor", "id": "prof-001", "slug": "kate-saenko", "name": "Kate Saenko", "url": "https://terrierintelligence.com/professors/kate-saenko", "topics": [ "Computer Vision", "ML Theory", "NLP/LLMs" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/kate-saenko.jpg", "departments": [ "Computer Science" ], "research_interests": [ "Computer Vision", "ML Theory", "NLP/LLMs" ], "bio": "A computer vision researcher who develops adaptive machine learning methods that help deep models generalize across changing data distributions. 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His research examines generative AI and algorithmic transparency in marketing and retail settings, and he teaches analytics courses and mentors doctoral students.", "website_url": "https://www.leedokyun.com/", "email": "dokyun@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-009", "lab-024" ], "class_ids": [] }, { "type": "professor", "id": "prof-013", "slug": "emily-whiting", "name": "Emily Whiting", "url": "https://terrierintelligence.com/professors/emily-whiting", "topics": [ "HCI" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/emily-whiting.jpg", "departments": [ "Computer Science" ], "research_interests": [ "HCI" ], "bio": "A computer graphics researcher who studies computational fabrication, examining how computation supports creative design of physical objects. Her group develops methods such as differentiable topology optimization and interlocking-structure design, drawing on engineering mechanics, and she teaches computational fabrication while advising doctoral researchers.", "website_url": "https://shape.bu.edu/", "email": "whiting@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-014" ], "class_ids": [ "cls-042" ] }, { "type": "professor", "id": "prof-014", "slug": "janusz-konrad", "name": "Janusz Konrad", "url": "https://terrierintelligence.com/professors/janusz-konrad", "topics": [ "Computer Vision" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/janusz-konrad.jpg", "departments": [ "Electrical & Computer Engineering" ], "research_interests": [ "Computer Vision" ], "bio": "A video and image processing researcher whose work spans computer vision, visual sensor networks, and 3D imaging. His lab develops multi-camera AI systems that estimate occupancy in large indoor spaces from overhead fisheye cameras, supporting applications in energy-efficient building management and emergency response.", "website_url": "https://vip.bu.edu/", "email": "jkonrad@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-015" ], "class_ids": [] }, { "type": "professor", "id": "prof-015", "slug": "prakash-ishwar", "name": "Prakash Ishwar", "url": "https://terrierintelligence.com/professors/prakash-ishwar", "topics": [ "Computer Vision", "ML Theory", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/prakash-ishwar.jpg", "departments": [ "Electrical & Computer Engineering" ], "research_interests": [ "Computer Vision", "ML Theory", "Statistics" ], "bio": "A statistical signal processing and machine learning researcher who develops model-based and data-driven tools for learning and inference problems. His work spans information theory, information-theoretic security, and visual information analysis, with applications that include people detection and activity recognition in video.", "website_url": "https://vip.bu.edu/", "email": "pi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-015" ], "class_ids": [] }, { "type": "professor", "id": "prof-016", "slug": "daniel-munro", "name": "Daniel Munro", "url": "https://terrierintelligence.com/professors/daniel-munro", "topics": [ "Ethics", "Policy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/daniel-munro.jpg", "departments": [ "Philosophy (CAS)" ], "research_interests": [ "Ethics", "Policy" ], "bio": "A philosopher of mind and epistemologist whose work examines the nature and epistemic value of imagination, including storytelling and pretend play. 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She builds resources such as the ASL-LEX lexicon database and directs BU's AI and Education Initiative and the Center on Sign Language and Deaf Education.", "website_url": "https://www.bu.edu/hic/profile/naomi-caselli/", "email": "nkc@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-003" ], "class_ids": [] }, { "type": "professor", "id": "prof-019", "slug": "michael-chang", "name": "Michael Chang", "url": "https://terrierintelligence.com/professors/michael-chang", "topics": [ "Education" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/michael-chang.jpg", "departments": [ "Wheelock College of Education & Human Development" ], "research_interests": [ "Education" ], "bio": "A learning scientist and computer scientist who studies how AI can support teaching and learning beyond the dominant instructional practices of schooling. His work centers on the collaborative design of AI tools for education, and he serves as an assistant director of the Earl Center for Learning & Innovation.", "website_url": "https://www.bu.edu/cds-faculty/profile/michael-chang/", "email": "machang@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-003" ], "class_ids": [] }, { "type": "professor", "id": "prof-020", "slug": "elena-forzani", "name": "Elena Forzani", "url": "https://terrierintelligence.com/professors/elena-forzani", "topics": [ "Education" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/elena-forzani.png", "departments": [ "Wheelock College of Education & Human Development" ], "research_interests": [ "Education" ], "bio": "A literacy researcher who studies how elementary and secondary students read and evaluate online information, including judgments about credibility. She uses multiple and mixed methods to examine cognitive, metacognitive, and motivational dimensions of digital reading, informing the design of more equitable literacy instruction and assessment.", "website_url": null, "email": "eforzani@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-003" ], "class_ids": [] }, { "type": "professor", "id": "prof-021", "slug": "jennifer-green", "name": "Jennifer Green", "url": "https://terrierintelligence.com/professors/jennifer-green", "topics": [ "Education" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/jennifer-green.jpg", "departments": [ "Wheelock College of Education & Human Development" ], "research_interests": [ "Education" ], "bio": "A child clinical psychologist whose research supports student mental health in schools, examining teacher identification of students with mental health needs, disparities in service access, and youth bullying. She develops survey measures of school bullying and evaluates prevention and mental health promotion programs in partnership with local districts.", "website_url": "https://www.bu.edu/hic/profile/jennifer-green/", "email": "jggreen@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-003" ], "class_ids": [] }, { "type": "professor", "id": "prof-022", "slug": "eshed-ohn-bar", "name": "Eshed Ohn-Bar", "url": "https://terrierintelligence.com/professors/eshed-ohn-bar", "topics": [ "Computer Vision", "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/eshed-ohn-bar.png", "departments": [ "Electrical & Computer Engineering" ], "research_interests": [ "Computer Vision", "Robotics" ], "bio": "A computer vision and robotics researcher who develops machine learning for embodied, assistive, and autonomous systems. His lab builds perception, planning, and interaction systems for safety-critical settings such as autonomous driving and navigation assistance for blind and visually impaired pedestrians, tested with community partners.", "website_url": "https://www.bu.edu/hic/profile/eshed-ohn-bar/", "email": "eohnbar@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-003", "lab-037" ], "class_ids": [] }, { "type": "professor", "id": "prof-023", "slug": "ola-ozernov-palchik", "name": "Ola Ozernov-Palchik", "url": "https://terrierintelligence.com/professors/ola-ozernov-palchik", "topics": [ "Education", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ola-ozernov-palchik.jpg", "departments": [ "Wheelock College of Education & Human Development", "Hariri Institute" ], "research_interests": [ "Education", "Healthcare" ], "bio": "A cognitive neuroscientist who examines the brain and cognitive mechanisms of language and literacy development, with a focus on reading comprehension and dyslexia. She applies tools from neuroimaging and machine learning to predict reading difficulties and to build evidence-based, personalized approaches to early literacy assessment and intervention.", "website_url": "https://www.bu.edu/hic/profile/ola-ozernov-palchik/", "email": "oozernov@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-003", "lab-004" ], "class_ids": [] }, { "type": "professor", "id": "prof-024", "slug": "charalampos-tsourakakis", "name": "Charalampos (Babis) Tsourakakis", "url": "https://terrierintelligence.com/professors/charalampos-tsourakakis", "topics": [ "Data Science", "ML Theory" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/charalampos-tsourakakis.jpg", "departments": [ "Computer Science" ], "research_interests": [ "Data Science", "ML Theory" ], "bio": "An algorithms researcher whose work spans large-scale graph mining and machine learning, including methods for finding dense subgraphs in massive networks. His research applies these techniques to problems such as anomaly detection, community detection, and web graph analysis, and he has built graph mining libraries adopted in industry.", "website_url": "https://tsourakakis.com/", "email": "ctsourak@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-019" ] }, { "type": "professor", "id": "prof-025", "slug": "mark-bun", "name": "Mark Bun", "url": "https://terrierintelligence.com/professors/mark-bun", "topics": [ "AI Safety", "ML Theory", "Ethics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/mark-bun.png", "departments": [ "Computer Science" ], "research_interests": [ "AI Safety", "ML Theory", "Ethics" ], "bio": "A theoretical computer scientist who studies algorithmic data privacy, applying complexity theory to questions about differential privacy and its connections to machine learning. His work examines the computational complexity of private learning, relationships between privacy and online prediction, and polynomial approximations to Boolean functions.", "website_url": "https://cs-people.bu.edu/mbun/", "email": "mbun@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-021" ] }, { "type": "professor", "id": "prof-026", "slug": "kevin-gold", "name": "Kevin Gold", "url": "https://terrierintelligence.com/professors/kevin-gold", "topics": [ "ML Theory", "Education" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/kevin-gold.jpg", "departments": [ "Computing & Data Sciences" ], "research_interests": [ "ML Theory", "Education" ], "bio": "A computer scientist and educator who teaches introductory data science, machine learning, and AI, and studies how large language models can support learning without short-circuiting it. His background spans industry and research roles at Google, MIT Lincoln Laboratory, and Epson, along with interests in modeling human behavior.", "website_url": "https://www.bu.edu/cds-faculty/profile/klgold/", "email": "klgold@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-023" ] }, { "type": "professor", "id": "prof-028", "slug": "roberto-tron", "name": "Roberto Tron", "url": "https://terrierintelligence.com/professors/roberto-tron", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/roberto-tron.jpg", "departments": [ "Mechanical Engineering" ], "research_interests": [ "Robotics" ], "bio": "A robotics researcher whose work combines control theory, computer vision, and machine learning for teams of robotic agents and human-robot interaction. He studies safety and performance of multi-robot systems using tools from Riemannian geometry and optimization, and develops distributed sensing platforms that model human motion to support aging in place.", "website_url": "https://www.bu.edu/eng/profile/roberto-tron/", "email": "tron@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-030" ] }, { "type": "professor", "id": "prof-029", "slug": "adam-smith", "name": "Adam Smith", "url": "https://terrierintelligence.com/professors/adam-smith", "topics": [ "ML Theory", "Data Science", "Social Science", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/adam-smith.jpg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Security" ], "bio": "A theoretical computer scientist working on data privacy and cryptography and their connections to machine learning, statistics, and information theory. He co-invented differential privacy, a rigorous framework for analyzing privacy in statistical databases, work recognized with the 2017 Gödel Prize and now used in deployed systems.", "website_url": "https://www.bu.edu/cs/profiles/adam-smith/", "email": "ads22@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-030", "slug": "ajay-joshi", "name": "Ajay Joshi", "url": "https://terrierintelligence.com/professors/ajay-joshi", "topics": [ "ML Theory", "Robotics", "Neuroscience", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ajay-joshi.png", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "Neuroscience", "Security" ], "bio": "A computer engineering researcher who designs energy-efficient computing systems, spanning computer architecture, hardware security, and silicon photonics. His group develops heterogeneously integrated electronic-photonic accelerators intended to run AI workloads faster and more efficiently, work supported by a National Science Foundation award.", "website_url": "https://www.bu.edu/eng/profile/ajay-joshi/", "email": "joshi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-031", "slug": "alan-marscher", "name": "Alan Marscher", "url": "https://terrierintelligence.com/professors/alan-marscher", "topics": [ "ML Theory", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/alan-marscher.jpg", "departments": [ "Astronomy", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences" ], "bio": "An astrophysicist who studies blazars, active galactic nuclei that launch plasma jets moving near light speed. With collaborators and students in BU's blazar research group, he builds physical models of jet formation and particle acceleration and interprets multifrequency monitoring observations from radio through gamma-ray telescopes.", "website_url": "https://www.bu.edu/hic/profile/alan-marscher/", "email": "marscher@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-032", "slug": "alexander-olshevsky", "name": "Alexander Olshevsky", "url": "https://terrierintelligence.com/professors/alexander-olshevsky", "topics": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/alexander-olshevsky.jpg", "departments": [ "Electrical & Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "bio": "A control and optimization theorist whose work develops distributed algorithms that let networks of autonomous agents, such as vehicle formations and sensor networks, cooperate reliably. His recent research analyzes reinforcement learning methods, proving convergence guarantees and sample-complexity bounds for algorithms including temporal difference learning and actor-critic.", "website_url": "https://www.bu.edu/eng/profile/alexander-olshevsky/", "email": "alexols@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-033", "slug": "alice-cronin-golomb", "name": "Alice Cronin-Golomb", "url": "https://terrierintelligence.com/professors/alice-cronin-golomb", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/alice-cronin-golomb.jpg", "departments": [ "Psychological and Brain Sciences", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "bio": "A clinical neuropsychologist whose work examines how perception and cognition change in aging and neurodegenerative disease, with emphasis on the non-motor symptoms of Parkinson's disease. Her Vision and Cognition Laboratory combines visual psychophysics, neuropsychological assessment, portable brain imaging, and smartphone-based symptom tracking in these populations.", "website_url": "https://www.bu.edu/hic/profile/alice-cronin-golomb/", "email": "alicecg@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.69497+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-034", "slug": "alina-ene", "name": "Alina Ene", "url": "https://terrierintelligence.com/professors/alina-ene", "topics": [ "ML Theory", "Data Science", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/alina-ene.jpg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Economy" ], "bio": "A theoretical computer scientist whose work designs and analyzes algorithms for combinatorial optimization, with emphasis on submodular functions and graphs. Her research examines the mathematical structure of these problems and applies the resulting algorithms to machine learning and the foundations of data science.", "website_url": "https://www.bu.edu/cs/profiles/aene/", "email": "aene@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-035", "slug": "allyson-sgro", "name": "Allyson Sgro", "url": "https://terrierintelligence.com/professors/allyson-sgro", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/allyson-sgro.jpg", "departments": [ "Biomedical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A quantitative biologist whose work examines how cells communicate and coordinate collective behaviors such as tissue assembly, wound healing, and biofilm formation. Her laboratory combines optogenetics and microscopy with machine learning and mathematical modeling to build a predictive understanding of how multicellular systems organize themselves.", "website_url": null, "email": "asgro@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.69497+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-036", "slug": "alyssa-pierson", "name": "Alyssa Pierson", "url": "https://terrierintelligence.com/professors/alyssa-pierson", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/alyssa-pierson.jpg", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "Robotics" ], "bio": "A robotics researcher whose work studies trust and cooperation in multi-agent systems, distributed robot control, and socially aware autonomy. She designs control algorithms that let teams of robots share tasks and interact safely with humans and each other in complex, dynamic environments.", "website_url": "https://www.bu.edu/hic/profile/alyssa-pierson/", "email": "pierson@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-031" ], "class_ids": [] }, { "type": "professor", "id": "prof-037", "slug": "anand-devaiah", "name": "Anand Devaiah", "url": "https://terrierintelligence.com/professors/anand-devaiah", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/anand-devaiah.jpeg", "departments": [ "Otolaryngology", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A skull base surgeon and health technology researcher whose work applies data analytics, AI, and ML to health care, including unlocking data held in siloed clinical repositories and developing digital biomarkers. He collaborates with startups and established companies to move new medical technologies into practice.", "website_url": "https://www.bu.edu/hic/profile/anand-devaiah/", "email": "adevaiah@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.69497+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-038", "slug": "anatoly-temkin", "name": "Anatoly Temkin", "url": "https://terrierintelligence.com/professors/anatoly-temkin", "topics": [ "ML Theory", "Neuroscience", "Data Science", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/anatoly-temkin.jpeg", "departments": [ "Computer Science", "Metropolitan College" ], "research_interests": [ "ML Theory", "Neuroscience", "Data Science", "Security" ], "bio": "A mathematician whose expertise centers on cryptography, with research interests in information security and curriculum design. He teaches undergraduate and graduate courses in discrete mathematics, cryptography, and algorithms, and received BU's Metcalf Award for Excellence in Teaching for his classroom work.", "website_url": "https://www.bu.edu/met/profile/anatoly-temkin/", "email": "temkin@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-039", "slug": "andrew-emili", "name": "Andrew Emili", "url": "https://terrierintelligence.com/professors/andrew-emili", "topics": [ "ML Theory", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/andrew-emili.jpg", "departments": [ "Biochemistry (BUSM) and Biology (CAS)", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science" ], "bio": "A systems biologist whose work maps protein interaction networks, biochemical pathways, and macromolecular complexes on a large scale. His research develops proteomic, genomic, and bioinformatic technologies, using protein mass spectrometry and computational analysis to reveal how molecular associations function in health and disease.", "website_url": "https://www.bu.edu/hic/profile/andrew-emili/", "email": "aemili@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.69497+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-040", "slug": "andrew-fitzpatrick", "name": "Andrew Fitzpatrick", "url": "https://terrierintelligence.com/professors/andrew-fitzpatrick", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/andrew-fitzpatrick.jpeg", "departments": [ "Physics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A theoretical physicist whose work develops quantum field theory methods, with emphasis on effective field theories and scale-invariant systems. His current research uses the conformal bootstrap, which constrains theories through symmetry and consistency requirements, to study quantum gravity and dualities between seemingly different physical descriptions.", "website_url": "https://www.bu.edu/hic/profile/andrew-fitzpatrick/", "email": "fitzpatr@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-041", "slug": "andrew-lyasoff", "name": "Andrew Lyasoff", "url": "https://terrierintelligence.com/professors/andrew-lyasoff", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/andrew-lyasoff.png", "departments": [ "Finance", "School of Management" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Economy" ], "bio": "A mathematician whose work applies stochastic analysis to asset pricing and the study of continuous-time financial markets, including equilibrium in incomplete markets. His research develops computational methods for finance, such as spline cubatures for expectations of diffusion processes, and he wrote the MIT Press text Stochastic Methods in Asset Pricing.", "website_url": "https://www.bu.edu/questrom/profiles/andrew-lyasoff/", "email": "alyasoff@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-042", "slug": "andrew-sabelhaus", "name": "Andrew Sabelhaus", "url": "https://terrierintelligence.com/professors/andrew-sabelhaus", "topics": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/andrew-sabelhaus.png", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "bio": "A roboticist whose work builds control systems and AI for soft and flexible robots, combining computational intelligence with embodied intelligence. His Soft Robotics Control Lab develops algorithms for locomotion and manipulation that aim to make close physical contact between robots and humans verifiably safe.", "website_url": "https://www.bu.edu/eng/profile/andrew-sabelhaus/", "email": "asabelha@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-043", "slug": "andrew-sellars", "name": "Andrew Sellars", "url": "https://terrierintelligence.com/professors/andrew-sellars", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/andrew-sellars.jpg", "departments": [ "Technology Law Clinic", "School of Law" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "bio": "A technology lawyer whose scholarship examines how intellectual property and computer access laws apply to technology research and journalism. As founding director of BU's Technology Law Clinic, he has supervised law students representing student security researchers, journalists, and startups on privacy, cybersecurity, and media law questions.", "website_url": null, "email": "sellars@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-044", "slug": "anthony-rosellini", "name": "Anthony Rosellini", "url": "https://terrierintelligence.com/professors/anthony-rosellini", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/anthony-rosellini.jpg", "departments": [ "Psychological and Brain Sciences", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A clinical psychologist whose work studies the onset and course of anxiety and mood disorders. His research applies machine learning to clinical and epidemiologic data to build prediction tools that identify people at risk for these conditions, with applications including depression and suicide risk in military populations.", "website_url": "https://www.bu.edu/hic/profile/anthony-rosellini/", "email": "ajrosell@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-045", "slug": "archana-venkataraman", "name": "Archana Venkataraman", "url": "https://terrierintelligence.com/professors/archana-venkataraman", "topics": [ "ML Theory", "NLP/LLMs", "Healthcare", "Neuroscience" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/archana-venkataraman.png", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "NLP/LLMs", "Healthcare", "Neuroscience" ], "bio": "A biomedical imaging and AI researcher whose work connects machine learning with clinical neuroscience. Her Neural Systems Analysis Laboratory develops algorithms for multimodal brain imaging data, including methods that localize seizure onset in epilepsy and models that characterize disorders such as autism and schizophrenia.", "website_url": "https://www.bu.edu/eng/profile/archana-venkataraman-ph-d/", "email": "archanav@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-033" ], "class_ids": [] }, { "type": "professor", "id": "prof-046", "slug": "ari-trachtenberg", "name": "Ari Trachtenberg", "url": "https://terrierintelligence.com/professors/ari-trachtenberg", "topics": [ "ML Theory", "Robotics", "Data Science", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ari-trachtenberg.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "Data Science", "Security" ], "bio": "An algorithms and security researcher whose work develops methods for data synchronization across distributed systems, error-correcting codes, and cybersecurity for smartphones and networked devices. His synchronization research includes protocols that reconcile transaction pools in large-scale blockchain networks, and he directs BU's Red Hat Collaboratory.", "website_url": "https://www.bu.edu/eng/profile/ari-trachtenberg/", "email": "trachten@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-047", "slug": "ashok-cutkosky", "name": "Ashok Cutkosky", "url": "https://terrierintelligence.com/professors/ashok-cutkosky", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ashok-cutkosky.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A machine learning theorist who designs optimization algorithms for training models, focusing on online learning, stochastic non-convex optimization, and parameter-free methods that remove manual hyperparameter tuning. 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She develops modeling and optimization methods that manage performance and power in data centers and high-performance computing clusters.", "website_url": "https://www.bu.edu/hic/profile/ayse-coskun/", "email": "acoskun@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-034" ], "class_ids": [] }, { "type": "professor", "id": "prof-049", "slug": "ayse-lokmanoglu", "name": "Ayse Lokmanoglu", "url": "https://terrierintelligence.com/professors/ayse-lokmanoglu", "topics": [ "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ayse-lokmanoglu.jpg", "departments": [ "Emerging Media Studies", "College of Communication" ], "research_interests": [ "Social Science" ], "bio": "A computational social scientist who examines how supremacist ideologies, disinformation, and conspiracy theories spread online through state and non-state actors. 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He served as founding director of BU's Hariri Institute and now leads the Faculty of Computing & Data Sciences as associate provost.", "website_url": "https://www.bu.edu/cs/profiles/best/", "email": "best@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-051", "slug": "belinda-borrelli", "name": "Belinda Borrelli", "url": "https://terrierintelligence.com/professors/belinda-borrelli", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/belinda-borrelli.png", "departments": [ "Center for Behavioral Science Research", "Goldman School of Dental Medicine" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "bio": "A clinical psychologist who develops and tests digital health interventions that motivate behavior change, particularly among people not yet motivated to change. Her work uses mobile platforms such as apps, text messaging, and virtual reality for smoking cessation, oral health, and adherence to chronic disease treatment.", "website_url": "https://www.bu.edu/hic/profile/belinda-borrelli/", "email": "belindab@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.69497+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-052", "slug": "benjamin-lubin", "name": "Benjamin Lubin", "url": "https://terrierintelligence.com/professors/benjamin-lubin", "topics": [ "ML Theory", "Data Science", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/benjamin-lubin.jpg", "departments": [ "Information systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Economy" ], "bio": "A researcher at the intersection of computer science, game theory, and economics who designs market mechanisms such as combinatorial auctions and exchanges. He also applies spectral graph theory, network science, and machine learning to analyze social networks and improve healthcare delivery, and directs a master's program in digital technology.", "website_url": "https://www.bu.edu/questrom/profiles/benjamin-lubin/", "email": "blubin@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-066" ] }, { "type": "professor", "id": "prof-053", "slug": "bin-gu", "name": "Bin Gu", "url": "https://terrierintelligence.com/professors/bin-gu", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/bin-gu.png", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "bio": "An information systems researcher who examines how information technologies and AI can address information asymmetry and social inequity in business and society. His studies trace these dynamics across settings such as fintech, digital platforms, and online social media, connecting technology design to economic and social outcomes.", "website_url": "https://www.bu.edu/questrom/profiles/bin-gu/", "email": "bgu@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-054", "slug": "bindu-kalesan", "name": "Bindu Kalesan", "url": "https://terrierintelligence.com/professors/bindu-kalesan", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/bindu-kalesan.jpeg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A clinical epidemiologist and biostatistician who studies the public health consequences of firearm violence, including injury survivorship, and long-term outcomes after cardiovascular disease and traumatic injury. Her methods include longitudinal cohort studies, meta-analysis, and spatiotemporal modeling of large clinical and population datasets.", "website_url": "https://www.bu.edu/hic/profile/bindu-kalesan/", "email": "kalesan@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.856024+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-055", "slug": "bjorn-reinhard", "name": "Björn Reinhard", "url": "https://terrierintelligence.com/professors/bjorn-reinhard", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/bjorn-reinhard.png", "departments": [ "Chemistry", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A nanomaterials chemist who develops plasmonic probes and functional optical materials for imaging, sensing, and photonics. His interdisciplinary group studies the interface between nanotechnology and biological systems, using engineered nanostructures to probe and control cellular processes, characterize nanoparticle-cell interactions, and profile tumor cells.", "website_url": "https://www.bu.edu/eng/profile/bjorn-reinhard/", "email": "bmr@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-056", "slug": "brian-cleary", "name": "Brian Cleary", "url": "https://terrierintelligence.com/professors/brian-cleary", "topics": [ "ML Theory", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/brian-cleary.jpg", "departments": [ "Biomedical Engineering", "Biology" ], "research_interests": [ "ML Theory", "Healthcare" ], "bio": "A computational biologist who applies compressed sensing and related algorithmic techniques to make genomic experiments more efficient. His group develops computational and laboratory methods for composite imaging transcriptomics, compressed genetic perturbation screens, and viral infection assays, recovering rich biological signal from far fewer measurements.", "website_url": "https://www.bu.edu/cds-faculty/profile/bcleary/", "email": "bcleary@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-017" ], "class_ids": [] }, { "type": "professor", "id": "prof-057", "slug": "brian-depasquale", "name": "Brian DePasquale", "url": "https://terrierintelligence.com/professors/brian-depasquale", "topics": [ "ML Theory", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/brian-depasquale.jpg", "departments": [ "Biomedical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Neuroscience", "Data Science" ], "bio": "A computational neuroscientist whose research sits at the boundary of machine learning and theoretical neuroscience, developing models of how biological neural circuits give rise to computation and behavior. He teaches a foundations course on biomedical data analysis and machine learning.", "website_url": "https://www.bu.edu/eng/profile/brian-depasquale-ph-d/", "email": "bddepasq@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-018" ], "class_ids": [] }, { "type": "professor", "id": "prof-059", "slug": "carol-neidle", "name": "Carol Neidle", "url": "https://terrierintelligence.com/professors/carol-neidle", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "HCI" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/carol-neidle.jpeg", "departments": [ "Linguistics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "HCI" ], "bio": "A linguist specializing in American Sign Language (ASL) who collaborates with computer scientists on video-based sign language recognition. Her work has produced computational tools such as SignStream and large annotated ASL video corpora that support both linguistic analysis and computer vision research.", "website_url": "https://www.bu.edu/linguistics/profile/carol-neidle/", "email": "carol@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-060", "slug": "catherine-caldwell-harris", "name": "Catherine Caldwell-Harris", "url": "https://terrierintelligence.com/professors/catherine-caldwell-harris", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/catherine-caldwell-harris.jpg", "departments": [ "Psychological and Brain Sciences", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Robotics" ], "bio": "A psycholinguist who studies how bilingual speakers process language and emotion, combining experimental measures such as skin conductance with cross-cultural surveys. Her current work also examines large language models from a psychological perspective, with undergraduate researchers participating through BU's Undergraduate Research Opportunities Program.", "website_url": "https://www.bu.edu/hic/profile/catherine-caldwell-harris/", "email": "charris@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.856024+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-061", "slug": "catherine-espaillat", "name": "Catherine Espaillat", "url": "https://terrierintelligence.com/professors/catherine-espaillat", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/catherine-espaillat.jpeg", "departments": [ "Astronomy", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "An astrophysicist who studies planet formation, searching protoplanetary disks around young stars for the footprints that forming planets leave behind. She combines multiwavelength observations from X-ray to radio with computer simulations and radiative transfer modeling, and co-leads an international consortium analyzing Hubble Space Telescope data.", "website_url": "https://www.bu.edu/hic/profile/catherine-espaillat/", "email": "cce@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-062", "slug": "cathie-jo-martin", "name": "Cathie Jo Martin", "url": "https://terrierintelligence.com/professors/cathie-jo-martin", "topics": [ "ML Theory", "Data Science", "Social Science", "Humanities" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/cathie-jo-martin.jpg", "departments": [ "Political Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Humanities" ], "bio": "A comparative political scientist who applies computational text analysis to centuries of British and Danish literature to trace the cultural origins of national education systems. Her work examines how these systems shape social inclusion and outcomes for low-skill youth, pairing literary corpora with political-economy scholarship.", "website_url": null, "email": "cjmartin@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-063", "slug": "chao-zhang", "name": "Chao Zhang", "url": "https://terrierintelligence.com/professors/chao-zhang", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/chao-zhang.jpeg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Physical Sciences" ], "bio": "A computational biologist who develops machine learning and statistical methods for next-generation sequencing data, including single-cell RNA sequencing. 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His work applies these methods to smart cities and connected automated vehicles, including adaptive traffic-light control, smart parking, and safe coordination of autonomous vehicle networks.", "website_url": "https://www.bu.edu/eng/profile/christos-cassandras/", "email": "cgc@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-068", "slug": "chuanfei-dong", "name": "Chuanfei Dong", "url": "https://terrierintelligence.com/professors/chuanfei-dong", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/chuanfei-dong.jpeg", "departments": [ "Department of Astronomy", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Environment" ], "bio": "A computational plasma physicist who models interactions between stars and terrestrial planets in the solar system and beyond, along with magnetic reconnection, turbulence, and wave-particle interaction. His research combines high-performance simulation with physics-informed machine learning to study space plasmas and laser-plasma interaction.", "website_url": "https://www.bu.edu/eng/profile/chuanfei-dong-phd/", "email": "dcfy@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-069", "slug": "clem-karl", "name": "Clem Karl", "url": "https://terrierintelligence.com/professors/clem-karl", "topics": [ "ML Theory", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/clem-karl.jpg", "departments": [ "Electrical & Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science" ], "bio": "A computational imaging researcher who develops statistical methods for signal and image processing, estimation, and image reconstruction. His work extracts information from noisy, uncertain data in applications spanning medical tomography and magnetic resonance imaging, synthetic aperture radar target recognition, and geophysical and atmospheric sensing.", "website_url": "https://www.bu.edu/hic/profile/clem-karl/", "email": "wckarl@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-070", "slug": "conor-mack", "name": "Conor Mack", "url": "https://terrierintelligence.com/professors/conor-mack", "topics": [ "ML Theory", "Robotics", "Data Science", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/conor-mack.jpg", "departments": [ "Strategy & Innovation", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Robotics", "Data Science", "Social Science" ], "bio": "A strategy and innovation educator whose interests center on machine learning, large-scale data mining, and knowledge discovery in business applications such as business intelligence and e-commerce. 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His research examines urban heat islands and heat waves to inform planning for hotter cities.", "website_url": "https://www.bu.edu/earth/profiles/dan-li/", "email": "lidan@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-072", "slug": "daniel-fulford", "name": "Daniel Fulford", "url": "https://terrierintelligence.com/professors/daniel-fulford", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/daniel-fulford.jpg", "departments": [ "Occupational Therapy and Psychological & Brain Sciences", "Sargent College" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Security" ], "bio": "A psychologist who studies motivation and social processes in psychopathology, using smartphone-based experience sampling and behavioral sensing to capture daily life. His research develops mobile interventions, including an app that combines social skills training with motivation support to improve social functioning in schizophrenia.", "website_url": "https://www.bu.edu/hic/profile/daniel-fulford/", "email": "dfulford@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-073", "slug": "daniel-segre", "name": "Daniel Segrè", "url": "https://terrierintelligence.com/professors/daniel-segre", "topics": [ "ML Theory", "Healthcare", "Physical Sciences", "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/daniel-segre.jpg", "departments": [ "Biology", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Physical Sciences", "Environment" ], "bio": "A computational biologist who studies the structure, dynamics, and origin of metabolism from single cells to microbial ecosystems. His group combines mathematical models with metagenomic sequencing to predict metabolism-mediated microbial interactions, developing simulation frameworks with applications in human microbiome research, biogeochemical cycling, and synthetic ecology.", "website_url": "https://www.bu.edu/cds-faculty/profile/dsegre/", "email": "dsegre@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-074", "slug": "daniel-sussman", "name": "Daniel Sussman", "url": "https://terrierintelligence.com/professors/daniel-sussman", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/daniel-sussman.jpg", "departments": [ "Mathematics and Statistics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A statistician who develops methods for network data, including node embeddings, graph matching, and causal inference under interference. His work examines trade-offs between computational constraints and statistical efficiency and applies network inference to brain connectomes, molecular and social networks, and knowledge graphs.", "website_url": null, "email": "sussman@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-075", "slug": "david-campbell", "name": "David Campbell", "url": "https://terrierintelligence.com/professors/david-campbell", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/david-campbell.jpg", "departments": [ "Physics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A theoretical physicist who studies nonlinear phenomena and complex systems, including intrinsic localized modes, novel electronic materials, and electron transport in semiconductor superlattices. His work uses analytical theory and computational simulation to explain how nonintegrable dynamical systems approach equilibrium or remain trapped in metastable states.", "website_url": "https://www.bu.edu/eng/profile/david-campbell/", "email": "dkcampbe@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-076", "slug": "deepak-kumar", "name": "Deepak Kumar", "url": "https://terrierintelligence.com/professors/deepak-kumar", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/deepak-kumar.jpg", "departments": [ "Physical Therapy & Athletic Training", "Sargent College" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A clinician-scientist who develops technology-enabled movement interventions for adults with knee osteoarthritis, aiming for sustained improvements in pain and physical function. His research tests AI-powered wearable sensors that assess patients' movement patterns at home and in the clinic, supporting more accessible rehabilitation care.", "website_url": "https://www.bu.edu/hic/profile/deepak-kumar/", "email": "kumard@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-077", "slug": "diane-joseph-mccarthy", "name": "Diane Joseph-McCarthy", "url": "https://terrierintelligence.com/professors/diane-joseph-mccarthy", "topics": [ "ML Theory", "Healthcare", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/diane-joseph-mccarthy.jpg", "departments": [ "Biomedical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Physical Sciences" ], "bio": "A computational chemist whose work applies molecular modeling, structure-based design, and machine learning to early-stage drug discovery. Her research develops fragment-based lead discovery methods and combines cryo-electron microscopy structural data with AI to identify and optimize candidate therapeutics, including antibacterials.", "website_url": "https://www.bu.edu/eng/profile/diane-joseph-mccarthy/", "email": "djosephm@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-078", "slug": "douglas-densmore", "name": "Douglas Densmore", "url": "https://terrierintelligence.com/professors/douglas-densmore", "topics": [ "ML Theory", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/douglas-densmore.png", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare" ], "bio": "A computer engineer whose research builds design-automation tools for synthetic biology, adapting techniques from electronic design automation to living systems. His group develops programming languages, software tools, and microfluidic platforms for designing, assembling, and testing engineered biological circuits with predictable behavior.", "website_url": "https://www.bu.edu/eng/profile/douglas-densmore/", "email": "dougd@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-079", "slug": "dylan-walker", "name": "Dylan Walker", "url": "https://terrierintelligence.com/professors/dylan-walker", "topics": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/dylan-walker.jpeg", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "bio": "A computational social scientist whose work measures how information, behaviors, and products spread through online social networks. He combines randomized experiments on large platforms with causal analysis of observational data to study peer influence, misinformation, and how platform design shapes collective outcomes.", "website_url": "https://www.bu.edu/hic/profile/dylan-walker/", "email": "dtwalker@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.856024+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-080", "slug": "elaine-nsoesie", "name": "Elaine Nsoesie", "url": "https://terrierintelligence.com/professors/elaine-nsoesie", "topics": [ "ML Theory", "Healthcare", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/elaine-nsoesie.png", "departments": [ "Global Health", "School of Public Health" ], "research_interests": [ "ML Theory", "Healthcare", "Statistics" ], "bio": "A computational epidemiologist whose research applies data science and machine learning to public health surveillance. She studies how data from social media, search engines, and mobile phones can track disease and inform policy, and how these tools can advance health equity.", "website_url": "https://www.bu.edu/cds-faculty/profile/elaine-nsoesie/", "email": "onelaine@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-081", "slug": "elizabeth-barnes", "name": "Elizabeth Barnes", "url": "https://terrierintelligence.com/professors/elizabeth-barnes", "topics": [ "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/elizabeth-barnes.jpg", "departments": [ "Earth & Environment", "Computing & Data Sciences", "College of Arts & Sciences", "CDS" ], "research_interests": [ "Environment" ], "bio": "A climate scientist whose research develops explainable AI methods to study how the Earth system varies, becomes predictable, and changes over time. Her group designs deep-learning tools that mirror scientific reasoning, applying them to questions about climate variability, prediction, and human-Earth system futures.", "website_url": "https://www.bu.edu/earth/profiles/elizabeth-barnes/", "email": "eabarnes@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-019" ], "class_ids": [] }, { "type": "professor", "id": "prof-082", "slug": "emily-ryan", "name": "Emily Ryan", "url": "https://terrierintelligence.com/professors/emily-ryan", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/emily-ryan.jpeg", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A computational engineer whose research models reactive transport, fluid mechanics, and electrochemistry in energy systems. Her Computational Energy Laboratory develops multiphysics simulations to study advanced batteries, fuel cells, and carbon capture, including work on understanding and suppressing dendrite growth that limits battery life.", "website_url": "https://www.bu.edu/eng/profile/emily-ryan-ph-d/", "email": "ryanem@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-083", "slug": "emma-lejeune", "name": "Emma Lejeune", "url": "https://terrierintelligence.com/professors/emma-lejeune", "topics": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/emma-lejeune.jpg", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "bio": "A computational mechanics researcher whose work integrates machine learning with physics-based simulation to characterize and predict the mechanical behavior of heterogeneous materials and biological systems. Her group builds benchmark datasets and metamodels that let researchers evaluate ML approaches to problems such as brittle fracture.", "website_url": "https://www.bu.edu/eng/profile/emma-lejeune/", "email": "elejeune@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-085", "slug": "emma-wiles", "name": "Emma Wiles", "url": "https://terrierintelligence.com/professors/emma-wiles", "topics": [ "HCI" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/emma-wiles.jpg", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "HCI" ], "bio": "An economist whose research examines how AI reshapes labor markets, focusing on search, matching, and hiring. She runs randomized experiments in the lab and field and analyzes large-scale platform data to study questions such as algorithmic writing assistance for job seekers and generative AI's effects on knowledge workers.", "website_url": "https://www.bu.edu/questrom/profiles/emma-wiles/", "email": "ewiles@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-025" ], "class_ids": [] }, { "type": "professor", "id": "prof-086", "slug": "erol-pekoz", "name": "Erol Pekoz", "url": "https://terrierintelligence.com/professors/erol-pekoz", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/erol-pekoz.jpg", "departments": [ "Operations & Technology Management", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "An applied probabilist whose research develops approximation methods for probability distributions and models of networks, queueing, and reliability. He applies these tools to operations management and healthcare, including statistical methods for measuring care quality and comparing performance across healthcare providers.", "website_url": "https://www.bu.edu/eng/profile/erol-pekoz/", "email": "pekoz@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-087", "slug": "eugene-pinsky", "name": "Eugene Pinsky", "url": "https://terrierintelligence.com/professors/eugene-pinsky", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/eugene-pinsky.jpeg", "departments": [ "Computer Science", "Metropolitan College" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A computer scientist whose research designs computationally simple, explainable machine learning methods for prediction and classification. His published work spans financial modeling, time-series analysis, and clustering, and he has developed core data science courses and led student projects in applied machine learning.", "website_url": "https://www.bu.edu/met/profile/eugene-pinsky/", "email": "epinsky@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-088", "slug": "evimaria-terzi", "name": "Evimaria Terzi", "url": "https://terrierintelligence.com/professors/evimaria-terzi", "topics": [ "ML Theory", "Data Science", "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/evimaria-terzi.jpg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Environment" ], "bio": "A computer scientist whose research develops algorithms for data mining and machine learning, with emphasis on social network analysis, recommendation systems, and clustering. Her recent work extends these algorithmic methods to problems in online learning, urban informatics, and large language models.", "website_url": "https://www.bu.edu/cs/profiles/evimaria-terzi/", "email": "evimaria@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-089", "slug": "gabriel-ocker", "name": "Gabriel Ocker", "url": "https://terrierintelligence.com/professors/gabriel-ocker", "topics": [ "ML Theory", "Neuroscience", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/gabriel-ocker.jpg", "departments": [ "Mathematics and Statistics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Neuroscience", "Physical Sciences" ], "bio": "A theoretical neuroscientist whose research studies how the structure of neuronal networks shapes their activity and function. His group builds mathematical models of neural circuits using dynamical systems, stochastic processes, and statistical physics, and tests model predictions against neural data from experimental collaborators.", "website_url": null, "email": "gkocker@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-090", "slug": "gareth-morgan", "name": "Gareth Morgan", "url": "https://terrierintelligence.com/professors/gareth-morgan", "topics": [ "ML Theory", "Healthcare", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/gareth-morgan.jpg", "departments": [ "Amyloidosis Center and Department of Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Physical Sciences" ], "bio": "A protein biochemist whose research examines why antibody light chains misfold and aggregate into amyloid fibrils in light-chain (AL) amyloidosis. His group combines biochemical experiments with computational structure prediction to understand light-chain instability and to develop small molecules that stabilize the proteins as potential therapies.", "website_url": "https://www.bu.edu/hic/profile/gareth-morgan/", "email": "gjmorgan@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.856024+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-091", "slug": "georgios-zervas", "name": "Georgios Zervas", "url": "https://terrierintelligence.com/professors/georgios-zervas", "topics": [ "ML Theory", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/georgios-zervas.jpg", "departments": [ "Marketing", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science" ], "bio": "A quantitative marketing researcher whose work sits at the intersection of data science and economics, using large-scale data to study online platforms and marketplaces. His research examines the sharing economy's impact on incumbent industries, online reputation and reviews, and how digital markets shape competition.", "website_url": "https://www.bu.edu/questrom/profiles/georgios-zervas/", "email": "zg@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-056" ] }, { "type": "professor", "id": "prof-092", "slug": "gerdus-benade", "name": "Gerdus Benade", "url": "https://terrierintelligence.com/professors/gerdus-benade", "topics": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/gerdus-benade.png", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "bio": "An operations researcher working at the intersection of computer science and economics, studying group decision-making under uncertainty and the fair division of resources. His work applies optimization and computational social choice to civic processes such as voting, participatory budgeting, and political districting.", "website_url": "https://www.bu.edu/questrom/profiles/gerdus-benade/", "email": "benade@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-056" ] }, { "type": "professor", "id": "prof-093", "slug": "gerry-tsoukalas", "name": "Gerry Tsoukalas", "url": "https://terrierintelligence.com/professors/gerry-tsoukalas", "topics": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/gerry-tsoukalas.jpeg", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "bio": "A business technology researcher who examines how emerging technologies change the way firms operate, finance themselves, and design platforms. His work covers blockchain governance, token economics, and fintech platform design, with recent projects on AI in business and human-AI collaboration.", "website_url": "https://www.bu.edu/questrom/profiles/gerry-tsoukalas/", "email": "gerryt@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-094", "slug": "gianluca-stringhini", "name": "Gianluca Stringhini", "url": "https://terrierintelligence.com/professors/gianluca-stringhini", "topics": [ "ML Theory", "Social Science", "Security", "Ethics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/gianluca-stringhini.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Social Science", "Security", "Ethics" ], "bio": "A security researcher who applies data-driven methods to understand and mitigate malicious activity online. By collecting and analyzing large-scale datasets with machine learning, statistical analysis, and systems design, he studies threats such as malware, coordinated harassment, and influence operations, and builds techniques to counter them.", "website_url": "https://www.bu.edu/eng/profile/gianluca-stringhini-ph-d/", "email": "gian@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-028" ], "class_ids": [] }, { "type": "professor", "id": "prof-095", "slug": "gustavo-schwenkler", "name": "Gustavo Schwenkler", "url": "https://terrierintelligence.com/professors/gustavo-schwenkler", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/gustavo-schwenkler.jpg", "departments": [ "Finance", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "bio": "A financial economist who develops statistical and computational tools for measuring financial risk, spanning asset pricing, credit and systemic risk, and cryptocurrencies. His econometric work includes machine learning methods that extract networks of economically linked firms from news text to study how risk spreads.", "website_url": null, "email": "gas@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.856024+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-096", "slug": "hadi-nia", "name": "Hadi Nia", "url": "https://terrierintelligence.com/professors/hadi-nia", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/hadi-nia.jpg", "departments": [ "Biomedical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A mechanobiology researcher who develops tools and models at the interface of physical sciences, biology, and immunology to study cancer and lung disease. His group examines mechanical forces in the tumor microenvironment and combines biophysical modeling with AI to detect lung cancer from computed tomography scans.", "website_url": "https://www.bu.edu/eng/profile/hadi-nia-ph-d/", "email": "htnia@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-097", "slug": "harold-park", "name": "Harold Park", "url": "https://terrierintelligence.com/professors/harold-park", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/harold-park.jpg", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A computational mechanics researcher who develops simulation techniques for material behavior from the atomic scale to the macroscale. His group studies topological mechanics, soft active materials, and phononic metamaterials, and integrates machine learning with atomistic simulation to search for materials with designed mechanical properties.", "website_url": "https://www.bu.edu/eng/profile/harold-park-ph-d/", "email": "parkhs@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-098", "slug": "helen-jenkins", "name": "Helen Jenkins", "url": "https://terrierintelligence.com/professors/helen-jenkins", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/helen-jenkins.jpg", "departments": [ "Biostatistics", "School of Public Health" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A biostatistician whose work applies statistical modeling to infectious disease data, with a focus on tuberculosis. She develops estimates of pediatric tuberculosis incidence and mortality and uses spatial methods to examine geographic variation in drug-resistant disease, aiming to inform public health policy and decision-making.", "website_url": "https://www.bu.edu/hic/profile/helen-jenkins/", "email": "helenje@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-099", "slug": "hongwei-xi", "name": "Hongwei Xi", "url": "https://terrierintelligence.com/professors/hongwei-xi", "topics": [ "Robotics", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/hongwei-xi.jpeg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "Robotics", "Economy" ], "bio": "A programming languages researcher who applies advanced type theory to language design and implementation. He is the principal designer of ATS, a language that combines programming with theorem proving through dependent and linear types, supporting the construction of safe and reliable software systems.", "website_url": "https://www.bu.edu/cs/profiles/hongwei-xi/", "email": "hwxi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:09.856024+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-100", "slug": "hua-wang", "name": "Hua Wang", "url": "https://terrierintelligence.com/professors/hua-wang", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/hua-wang.png", "departments": [ "Systems Engineering", "College of Engineering" ], "research_interests": [ "Robotics" ], "bio": "A control systems researcher who studies nonlinear dynamics and the control of systems exhibiting complex behavior such as bifurcations. His research interests span nonlinear and intelligent control methods, including fuzzy control, with applications to robotics and to biomedical and energy systems.", "website_url": "https://www.bu.edu/eng/profile/hua-wang/", "email": "wangh@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-101", "slug": "huimin-cheng", "name": "Huimin Cheng", "url": "https://terrierintelligence.com/professors/huimin-cheng", "topics": [ "Healthcare", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/huimin-cheng.png", "departments": [ "Biostatistics", "School of Public Health" ], "research_interests": [ "Healthcare", "Statistics" ], "bio": "A biostatistician who develops machine learning and AI methods grounded in statistical network analysis. Her research spans graph deep learning, causal inference, and network modeling techniques such as graphon-based methods, with applications to trustworthy large language models, knowledge graphs, and health data.", "website_url": "https://www.bu.edu/hic/profile/huimin-cheng/", "email": "HUIMIN23@BU.EDU", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-102", "slug": "ioannis-paschalidis", "name": "Ioannis Paschalidis", "url": "https://terrierintelligence.com/professors/ioannis-paschalidis", "topics": [ "ML Theory", "Robotics", "Healthcare", "Neuroscience" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ioannis-paschalidis.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "Healthcare", "Neuroscience" ], "bio": "An optimization and control researcher who integrates stochastic modeling with machine learning to develop methods robust to noisy, incomplete data. His work applies these tools to computational medicine and biology, health analytics, and networked systems, and he directs the Hariri Institute, BU's computing research hub.", "website_url": "https://www.bu.edu/eng/profile/ioannis-paschalidis/", "email": "yannisp@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-032", "lab-040" ], "class_ids": [] }, { "type": "professor", "id": "prof-103", "slug": "irena-vodenska", "name": "Irena Vodenska", "url": "https://terrierintelligence.com/professors/irena-vodenska", "topics": [ "ML Theory", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/irena-vodenska.jpeg", "departments": [ "Administrative Sciences", "Metropolitan College" ], "research_interests": [ "ML Theory", "Economy" ], "bio": "A finance researcher who applies network theory and complexity science to model interconnected financial systems, banking dynamics, and systemic risk propagation. Her work develops early warning indicators for financial crises and uses deep learning for natural language processing to mine news for factors affecting markets.", "website_url": "https://www.bu.edu/met/profile/irena-vodenska/", "email": "vodenska@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-104", "slug": "ivan-fernandez-val", "name": "Iván Fernández-Val", "url": "https://terrierintelligence.com/professors/ivan-fernandez-val", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ivan-fernandez-val.jpg", "departments": [ "Economics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "An econometrician whose research develops methods for nonlinear panel data models, quantile regression, and distributional and causal analysis, with applications in labor economics. His recent work examines how machine learning methods can be applied to causal inference questions in empirical economics.", "website_url": "https://www.bu.edu/hic/profile/ivan-fernandez-val/", "email": "ivanf@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-105", "slug": "jacob-bor", "name": "Jacob Bor", "url": "https://terrierintelligence.com/professors/jacob-bor", "topics": [ "ML Theory", "Healthcare", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/jacob-bor.jpg", "departments": [ "Global Health and Epidemiology", "School of Public Health" ], "research_interests": [ "ML Theory", "Healthcare", "Statistics" ], "bio": "A population health researcher who applies the tools of economics and data science to study HIV treatment and prevention in southern Africa and structural drivers of health disparities in the United States. His methods work advances causal inference designs, including regression discontinuity, to estimate causal effects without randomized trials.", "website_url": "https://www.bu.edu/hic/profile/jacob-bor/", "email": "jbor@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-106", "slug": "james-chapman", "name": "James Chapman", "url": "https://terrierintelligence.com/professors/james-chapman", "topics": [ "ML Theory", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/james-chapman.png", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences" ], "bio": "A materials informatics researcher who fuses physics-based simulation with machine learning to discover and design materials for energy generation and storage, corrosion resistance, and pollution mitigation. His group combines quantum-mechanical and multiscale modeling with learned models that rapidly predict properties of candidate materials under extreme conditions.", "website_url": "https://www.bu.edu/eng/profile/james-chapman/", "email": "jc112358@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-107", "slug": "james-feigenbaum", "name": "James Feigenbaum", "url": "https://terrierintelligence.com/professors/james-feigenbaum", "topics": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/james-feigenbaum.jpg", "departments": [ "Economics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "bio": "An economic historian and labor economist who studies inequality, intergenerational mobility, and health in the nineteenth- and twentieth-century United States. He develops machine learning methods for linking individuals across digitized historical census records, using the resulting data to trace the long-run effects of public policy and environmental shocks.", "website_url": "https://www.bu.edu/hic/profile/james-feigenbaum/", "email": "jamesf@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": "2026-08-23T06:07:20.181+00:00", "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-108", "slug": "james-katz", "name": "James Katz", "url": "https://terrierintelligence.com/professors/james-katz", "topics": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/james-katz.jpg", "departments": [ "Emerging Media Studies", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "bio": "A communication researcher who examines how emerging media technologies, especially AI and mobile communication, change social interaction and everyday life. Through books and studies of technology adoption, he explores what these tools reveal about human nature and organizations, and he directs a project on AI's implications for communication.", "website_url": "https://www.bu.edu/hic/profile/james-katz/", "email": "katz2020@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-109", "slug": "james-mcdaniel", "name": "James McDaniel", "url": "https://terrierintelligence.com/professors/james-mcdaniel", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/james-mcdaniel.jpg", "departments": [ "Mechanical", "College of Engineering" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A structural acoustics researcher who studies how vibrations and sound interact with complex structures and materials, from acoustic metamaterials to viscoelastic damping. He combines theory, computation, experiment, and machine learning to model dynamic systems, with applications in sound absorption, target identification, and the built environment.", "website_url": "https://www.bu.edu/hic/profile/james-mcdaniel/", "email": "jgm@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.0104+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-110", "slug": "janet-freilich", "name": "Janet Freilich", "url": "https://terrierintelligence.com/professors/janet-freilich", "topics": [ "ML Theory", "NLP/LLMs", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/janet-freilich.jpg", "departments": [ "Law", "School of Law" ], "research_interests": [ "ML Theory", "NLP/LLMs", "Healthcare", "Data Science" ], "bio": "A legal scholar who studies patent law and innovation policy through large-scale empirical analysis, including a dataset of over two million patents. Her work examines how untested prophetic examples, inaccurate information, and AI-derived drug discoveries shape what patents disclose and how the patent system handles scientific evidence.", "website_url": null, "email": "janetf@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-111", "slug": "jennifer-beane", "name": "Jennifer Beane", "url": "https://terrierintelligence.com/professors/jennifer-beane", "topics": [ "ML Theory", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/jennifer-beane.jpeg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science" ], "bio": "A computational biologist who develops and applies genomic methods to understand early lung cancer development. Her group analyzes bulk and single-cell RNA sequencing, spatial transcriptomics, and pathology images from the smoking-injured airway to find molecular markers that predict lung cancer risk and candidates for preventive therapy.", "website_url": "https://www.bu.edu/hic/profile/jennifer-beane-ebel/", "email": "jbeane@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-112", "slug": "john-baillieul", "name": "John Baillieul", "url": "https://terrierintelligence.com/professors/john-baillieul", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/john-baillieul.png", "departments": [ "Mechanical Engineering, Electrical & Computer Engineering", "College of Engineering" ], "research_interests": [ "Robotics" ], "bio": "A control theorist and roboticist who studies the mathematics of controlling mechanical systems, from nonlinear and networked control to communication-constrained robotics. His recent work develops neuromimetic control, analyzing how animals perceive and move in order to design perception and decision-making algorithms for autonomous vehicles and robots.", "website_url": "https://www.bu.edu/eng/profile/john-baillieul-ph-d-me-se/", "email": "johnb@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-113", "slug": "john-liagouris", "name": "John Liagouris", "url": "https://terrierintelligence.com/professors/john-liagouris", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/john-liagouris.jpg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A systems researcher who builds distributed data processing systems with strong security and privacy guarantees. He co-leads a lab developing platforms for secure collaborative analytics, including Secrecy, a system that lets multiple organizations run computations over combined data using cryptographic protocols without revealing their private inputs.", "website_url": "https://www.bu.edu/hic/profile/john-liagouris/", "email": "liagos@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-114", "slug": "jonathan-huggins", "name": "Jonathan Huggins", "url": "https://terrierintelligence.com/professors/jonathan-huggins", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/jonathan-huggins.jpg", "departments": [ "Mathematics & Statistics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A statistician and machine learning researcher who develops scalable Bayesian inference methods with trustworthy uncertainty quantification, even when models are imperfect and inference is approximate. His group builds computational tools applied to large-scale ecological forecasting and to scientific discovery from high-throughput, multi-modal genomic data.", "website_url": "https://www.bu.edu/cds-faculty/profile/huggins/", "email": "huggins@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-115", "slug": "jonathan-jay", "name": "Jonathan Jay", "url": "https://terrierintelligence.com/professors/jonathan-jay", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/jonathan-jay.jpg", "departments": [ "Community Health Sciences", "School of Public Health" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A public health researcher who studies urban gun violence, particularly youth exposure, using machine learning, satellite imagery, and spatial analysis to identify block-level risk factors. His work evaluates place-based interventions such as building demolitions and vacant-lot improvements as strategies for reducing firearm injuries and racial disparities.", "website_url": "https://www.bu.edu/hic/profile/jonathan-jay/", "email": "jonjay@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-116", "slug": "joshua-campbell", "name": "Joshua Campbell", "url": "https://terrierintelligence.com/professors/joshua-campbell", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/joshua-campbell.jpeg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A computational biologist who develops Bayesian methods and software for analyzing single-cell and spatial omics data and mutational signatures in cancer. His lab applies these tools to precancerous lung lesions and prostate cancer disparities, generating multi-omic datasets from patient samples to uncover mechanisms of tumor development.", "website_url": "https://www.bu.edu/cds-faculty/profile/joshua-campbell/", "email": "camp@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-117", "slug": "juan-fuxman-bass", "name": "Juan Fuxman Bass", "url": "https://terrierintelligence.com/professors/juan-fuxman-bass", "topics": [ "ML Theory", "Healthcare", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/juan-fuxman-bass.jpg", "departments": [ "Biology", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Physical Sciences" ], "bio": "A systems biologist who studies how human gene regulatory networks control immune responses, cell differentiation, and viral pathogenesis. His lab integrates high-throughput screening, including an enhanced yeast one-hybrid platform testing over a thousand transcription factors, with bioinformatics analysis to map which factors regulate which genes.", "website_url": "https://www.bu.edu/hic/profile/juan-fuxman-bass/", "email": "fuxman@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-118", "slug": "julie-dahlstrom", "name": "Julie Dahlstrom", "url": "https://terrierintelligence.com/professors/julie-dahlstrom", "topics": [ "ML Theory", "Data Science", "Security", "AI Safety" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/julie-dahlstrom.jpg", "departments": [ "Law", "School of Law" ], "research_interests": [ "ML Theory", "Data Science", "Security", "AI Safety" ], "bio": "A legal scholar whose research examines how human trafficking law in the United States has evolved and how litigators mobilize it, including its expanding reach across federal and state statutes. She directs a clinical program in which law students represent immigrants and trafficking survivors in real cases.", "website_url": "https://www.bu.edu/hic/profile/julie-dahlstrom/", "email": "jadahl@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.0104+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-119", "slug": "kaija-schilde", "name": "Kaija Schilde", "url": "https://terrierintelligence.com/professors/kaija-schilde", "topics": [ "ML Theory", "Data Science", "Social Science", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/kaija-schilde.jpg", "departments": [ "Pardee School of Global Studies" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Security" ], "bio": "A political scientist who studies the political economy of security, asking why states outsource security to firms and markets. Her work examines defense industries, military spending, and the relationship between spending, innovation, and capabilities, with a focus on the European Union and transatlantic security institutions.", "website_url": "https://www.bu.edu/hic/profile/kaija-schilde/", "email": "kschilde@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.0104+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-120", "slug": "kamal-sen", "name": "Kamal Sen", "url": "https://terrierintelligence.com/professors/kamal-sen", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/kamal-sen.jpg", "departments": [ "Biomedical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A computational neuroscientist who studies how the brain encodes and separates natural sounds, focusing on the cortical basis of auditory scene analysis. His lab combines neural recordings with information theory and signal processing, and develops brain-inspired algorithms for the cocktail party problem to improve hearing assistive devices.", "website_url": "https://www.bu.edu/eng/profile/kamal-sen-ph-d/", "email": "kamalsen@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-121", "slug": "katya-ravid", "name": "Katya Ravid", "url": "https://terrierintelligence.com/professors/katya-ravid", "topics": [ "ML Theory", "Healthcare", "Data Science", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/katya-ravid.jpeg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Social Science" ], "bio": "A molecular biologist who studies how bone marrow megakaryocytes develop into platelets, including the cell cycle control behind polyploidization, and how adenosine receptors shape vascular regeneration in injury and atherosclerosis. She also directs a university office fostering interdisciplinary biomedical research collaborations across BU's campuses.", "website_url": "https://www.bu.edu/hic/profile/katya-ravid/", "email": "kravid@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.0104+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-122", "slug": "keith-brown", "name": "Keith Brown", "url": "https://terrierintelligence.com/professors/keith-brown", "topics": [ "ML Theory", "Robotics", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/keith-brown.jpg", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "Data Science", "Physical Sciences" ], "bio": "A materials researcher who develops self-driving laboratories that combine robotics, additive manufacturing, and machine learning to increase the pace and scale of experimentation. His group studies polymers and smart fluids to learn how useful properties emerge from composition, processing, and hierarchical structure.", "website_url": "https://www.bu.edu/eng/profile/keith-brown/", "email": "brownka@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-123", "slug": "kenn-sebesta", "name": "Kenn Sebesta", "url": "https://terrierintelligence.com/professors/kenn-sebesta", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/kenn-sebesta.jpg", "departments": [ "Mechanical Engineering" ], "research_interests": [ "Robotics" ], "bio": "A robotics engineer with a controls background who directs BU's hands-on robotics teaching center, where students design, build, and test real robotic systems. Through courses and a tiered microcredential program, students can practice skills in automation, autonomous systems, and robot design.", "website_url": "https://www.bu.edu/eng/profile/kenn-sebesta/", "email": "ksebesta@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-035" ], "class_ids": [ "cls-048" ] }, { "type": "professor", "id": "prof-124", "slug": "kia-teymourian", "name": "Kia Teymourian", "url": "https://terrierintelligence.com/professors/kia-teymourian", "topics": [ "ML Theory", "NLP/LLMs", "Robotics", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/kia-teymourian.jpg", "departments": [ "Computer Science", "Metropolitan College" ], "research_interests": [ "ML Theory", "NLP/LLMs", "Robotics", "Healthcare" ], "bio": "A computer scientist who studies data stream and complex event processing, big data systems, and natural language processing. Recent work develops machine-learning models that predict heat transfer and air-pollutant dispersion over urban environments, and he teaches courses in data analysis and visualization.", "website_url": "https://www.bu.edu/hic/profile/kia-teymourian/", "email": "kiat@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-125", "slug": "kirill-korolev", "name": "Kirill Korolev", "url": "https://terrierintelligence.com/professors/kirill-korolev", "topics": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/kirill-korolev.jpg", "departments": [ "Physics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "bio": "A biophysicist who uses mathematical modeling to understand evolution and population dynamics in microbial communities, expanding populations, and cancer progression. His work draws on statistical physics and stochastic processes, combining analytical theory with computational analysis to ask how cooperation, competition, and spatial structure shape ecosystems.", "website_url": "https://www.bu.edu/hic/profile/kirill-korolev/", "email": "korolev@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-126", "slug": "konstantinos-spiliopoulos", "name": "Konstantinos Spiliopoulos", "url": "https://terrierintelligence.com/professors/konstantinos-spiliopoulos", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/konstantinos-spiliopoulos.jpg", "departments": [ "Mathematics & Statistics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Economy" ], "bio": "An applied mathematician whose research develops algorithmic and computational methods for machine learning, including mean-field analysis of neural networks and uncertainty quantification in deep learning. He also studies stochastic processes, multiscale methods, and large deviations, with applications in financial mathematics and statistical network modeling.", "website_url": "https://www.bu.edu/hic/profile/konstantinos-spiliopoulos/", "email": "kspiliop@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-128", "slug": "laurina-zhang", "name": "Laurina Zhang", "url": "https://terrierintelligence.com/professors/laurina-zhang", "topics": [ "ML Theory", "Data Science", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/laurina-zhang.jpg", "departments": [ "Strategy & Innovation", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Social Science" ], "bio": "An economist of innovation who examines how technology and information access shape innovative, entrepreneurial, and creative outcomes, particularly for disadvantaged groups. Her empirical research studies the organizational and policy levers that affect innovation and inequality, spanning questions of digitization and democratized participation in creative work.", "website_url": "https://www.bu.edu/questrom/profiles/laurina-zhang/", "email": "laurinaz@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-129", "slug": "lei-tian", "name": "Lei Tian", "url": "https://terrierintelligence.com/professors/lei-tian", "topics": [ "ML Theory", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/lei-tian.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences" ], "bio": "A computational imaging researcher who jointly designs optics and algorithms, applying deep learning to biomedical microscopy and neurophotonics. His group builds methods such as differential phase contrast microscopy, Fourier ptychography, and imaging through scattering media, using neural networks to reconstruct and digitally label large-scale microscopy data.", "website_url": "https://www.bu.edu/eng/profile/lei-tian/", "email": "leitian@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-022" ], "class_ids": [] }, { "type": "professor", "id": "prof-130", "slug": "lou-chitkushev", "name": "Lou Chitkushev", "url": "https://terrierintelligence.com/professors/lou-chitkushev", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/lou-chitkushev.jpg", "departments": [ "Computer Science", "Metropolitan College" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "bio": "A computer scientist whose research spans health informatics, network security, and data assurance across healthcare, biomedical, and financial information systems. He co-founded BU's center for reliable information systems and cybersecurity, founded its health informatics program, and teaches medical informatics, computer networks, and network security.", "website_url": "https://www.bu.edu/met/profile/lou-chitkushev/", "email": "LTC@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-131", "slug": "lucy-hutyra", "name": "Lucy Hutyra", "url": "https://terrierintelligence.com/professors/lucy-hutyra", "topics": [ "ML Theory", "Healthcare", "Statistics", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/lucy-hutyra.png", "departments": [ "Earth & Environment", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Statistics", "Physical Sciences" ], "bio": "An urban ecologist who studies the carbon cycle in cities, asking how urbanization alters vegetation, greenhouse gas emissions, and carbon uptake. Her group combines remote sensing, atmospheric observations, and ecological models on large NASA projects to quantify urban emissions and inform sustainability planning.", "website_url": "https://www.bu.edu/earth/profiles/lucy-hutyra/", "email": "lrhutyra@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-132", "slug": "ludovic-trinquart", "name": "Ludovic Trinquart", "url": "https://terrierintelligence.com/professors/ludovic-trinquart", "topics": [ "ML Theory", "Healthcare", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ludovic-trinquart.jpg", "departments": [ "Biostatistics", "School of Public Health" ], "research_interests": [ "ML Theory", "Healthcare", "Statistics" ], "bio": "A biostatistician and clinical trial methodologist whose work improves the design, analysis, and interpretation of randomized trials. His research develops methods for time-to-event outcomes, meta-analysis, and patient-centered measures of treatment effect, collaborating with clinical investigators across oncology, cardiology, and population health.", "website_url": "https://www.bu.edu/hic/profile/ludovic-trinquart/", "email": "ludovic@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.0104+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-133", "slug": "luis-carvalho", "name": "Luis Carvalho", "url": "https://terrierintelligence.com/professors/luis-carvalho", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/luis-carvalho.jpg", "departments": [ "Mathematics & Statistics", "College of Arts & Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A statistician who develops Bayesian methods for statistical inference in structured, high-dimensional discrete spaces, together with computational statistics and network modeling. Applications include land-cover classification from satellite imagery, gene-interaction analysis in genome-wide association studies, and community detection in social networks.", "website_url": "https://www.bu.edu/hic/profile/luis-carvalho/", "email": "lecarval@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-134", "slug": "maggie-mulvihill", "name": "Maggie Mulvihill", "url": "https://terrierintelligence.com/professors/maggie-mulvihill", "topics": [ "ML Theory", "Data Science", "Social Science", "Humanities" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/maggie-mulvihill.jpg", "departments": [ "Journalism", "College of Communication" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Humanities" ], "bio": "An investigative journalist who applies computational and data-driven reporting methods to government accountability stories. She developed BU journalism's first data journalism course and has trained hundreds of journalists in data storytelling; students in her courses can practice data analysis and data-driven storytelling for investigative work.", "website_url": "https://www.bu.edu/com/profile/maggie-mulvihill/", "email": "mmulvih@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-135", "slug": "marc-howard", "name": "Marc Howard", "url": "https://terrierintelligence.com/professors/marc-howard", "topics": [ "ML Theory", "Neuroscience" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/marc-howard.jpg", "departments": [ "Psychological and Brain Sciences", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Neuroscience" ], "bio": "A theoretical cognitive neuroscientist who develops mathematical models of memory and evaluates them against behavioral and neurophysiological data. His lab studies how the brain represents time and space to support episodic memory, bridging cognition and systems neuroscience through mathematical, computational, and behavioral tools.", "website_url": "https://www.bu.edu/hic/profile/marc-howard/", "email": "marc777@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-136", "slug": "marc-lenburg", "name": "Marc Lenburg", "url": "https://terrierintelligence.com/professors/marc-lenburg", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/marc-lenburg.jpg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A computational biologist who uses genomic approaches to understand how tobacco smoke alters airway biology and drives diseases such as lung cancer and chronic obstructive pulmonary disease. His work translates gene-expression findings into diagnostics, including a nasal swab genomic test for assessing suspicious lung nodules.", "website_url": "https://www.bu.edu/hic/profile/marc-lenburg/", "email": "mlenburg@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-137", "slug": "marc-rysman", "name": "Marc Rysman", "url": "https://terrierintelligence.com/professors/marc-rysman", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/marc-rysman.jpg", "departments": [ "Economics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "bio": "An empirical industrial organization economist who studies network effects, platform markets, and standardization, with attention to the antitrust and regulatory questions they raise. His research spans payment cards, telecommunications, and consumer electronics, and his teaching covers industrial organization, econometrics, and antitrust policy.", "website_url": "https://www.bu.edu/hic/profile/marc-rysman/", "email": "mrysman@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-138", "slug": "marco-gaboardi", "name": "Marco Gaboardi", "url": "https://terrierintelligence.com/professors/marco-gaboardi", "topics": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/marco-gaboardi.png", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "bio": "A programming-languages researcher who builds formal methods and type systems for verifying differential privacy, producing mechanized proofs that data analyses protect individual records while staying accurate. He mentors PhD students and postdoctoral researchers and teaches courses on formal methods in security and privacy.", "website_url": "https://www.bu.edu/cs/profiles/gaboardi/", "email": "gaboardi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-139", "slug": "marianne-baxter", "name": "Marianne Baxter", "url": "https://terrierintelligence.com/professors/marianne-baxter", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/marianne-baxter.jpg", "departments": [ "Economics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "bio": "A macroeconomist whose research examines economic fluctuations, the international transmission of business cycles, and pricing in international settings. Her empirical and theoretical work includes estimating exchange rate pass-through, analyzing price-setting behavior in monopolistic international markets, and testing asset pricing models with panel data.", "website_url": "https://www.bu.edu/hic/profile/marianne-baxter/", "email": "mbaxter@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.0104+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-140", "slug": "mark-crovella", "name": "Mark Crovella", "url": "https://terrierintelligence.com/professors/mark-crovella", "topics": [ "ML Theory", "Healthcare", "Data Science", "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/mark-crovella.jpg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Environment" ], "bio": "A computer scientist who applies data mining, statistics, and performance evaluation to the understanding and design of networks and networked computer systems. His work spans Internet measurement, traffic analysis, and anomaly detection, and extends network-analysis methods to social and biological networks.", "website_url": "https://www.bu.edu/cs/profiles/crovella/", "email": "crovella@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-141", "slug": "mark-kon", "name": "Mark Kon", "url": "https://terrierintelligence.com/professors/mark-kon", "topics": [ "ML Theory", "Computer Vision", "Healthcare", "Neuroscience" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/mark-kon.png", "departments": [ "Mathematics & Statistics", "College of Arts & Sciences" ], "research_interests": [ "ML Theory", "Computer Vision", "Healthcare", "Neuroscience" ], "bio": "A mathematician whose research develops machine learning theory, statistical learning, and quantum probability and information, with applications in bioinformatics and computational neuroscience. He co-leads BU's Stochastic Machine Learning Group, where graduate and undergraduate students work on theoretical and applied problems in data analysis and prediction.", "website_url": "https://www.bu.edu/hic/profile/mark-kon/", "email": "mkon@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-142", "slug": "mark-kramer", "name": "Mark Kramer", "url": "https://terrierintelligence.com/professors/mark-kramer", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/mark-kramer.jpeg", "departments": [ "Mathematics & Statistics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A mathematical neuroscientist who builds biophysical models of neural activity and develops data analysis methods for brain recordings. His work characterizes the brain patterns seen during epileptic seizures, aiming to help clinicians identify which brain regions and mechanisms to target when treating epilepsy.", "website_url": "https://www.bu.edu/hic/profile/mark-kramer/", "email": "mak@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-143", "slug": "marshall-van-alstyne", "name": "Marshall Van Alstyne", "url": "https://terrierintelligence.com/professors/marshall-van-alstyne", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/marshall-van-alstyne.jpg", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Data Science" ], "bio": "An information economist who studies how networks and platforms create value, developing theory of two-sided markets and platform business models that has been applied in antitrust analysis. He also designs market mechanisms, such as truth warrants, to combat misinformation and improve information quality online.", "website_url": "https://www.bu.edu/questrom/profiles/marshall-van-alstyne/", "email": "mva@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-144", "slug": "martin-fiszbein", "name": "Martin Fiszbein", "url": "https://terrierintelligence.com/professors/martin-fiszbein", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/martin-fiszbein.jpg", "departments": [ "Economics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "bio": "An economist whose research examines economic growth and development, economic history, and urban economics, with a focus on historical political economy and historical development. His work uses evidence from history to study how economies grow over the long run, and he is a National Bureau of Economic Research associate.", "website_url": "https://www.bu.edu/hic/profile/martin-fiszbein/", "email": "fiszbein@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-145", "slug": "martin-herbordt", "name": "Martin Herbordt", "url": "https://terrierintelligence.com/professors/martin-herbordt", "topics": [ "ML Theory", "Healthcare", "Physical Sciences", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/martin-herbordt.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Physical Sciences", "Security" ], "bio": "A computer engineer who designs high-performance computing systems using hardware accelerators, particularly field-programmable gate arrays and graphics processing units. His research applies these architectures to problems in bioinformatics and computational biology, and he teaches courses in computer organization, computer architecture, and high-performance programming.", "website_url": "https://www.bu.edu/eng/profile/martin-herbordt/", "email": "herbordt@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-146", "slug": "mary-dunlop", "name": "Mary Dunlop", "url": "https://terrierintelligence.com/professors/mary-dunlop", "topics": [ "ML Theory", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/mary-dunlop.jpg", "departments": [ "Biomedical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare" ], "bio": "A biomedical engineer who combines synthetic biology, feedback control, and deep learning to study and engineer microbial systems. Her lab applies optogenetics and single-cell microscopy to problems including antibiotic resistance and metabolic engineering, and she has received BU awards for teaching and postdoc mentoring.", "website_url": "https://www.bu.edu/eng/profile/mary-dunlop-ph-d/", "email": "mjdunlop@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-147", "slug": "mohammad-soltanieh-ha", "name": "Mohammad Soltanieh Ha", "url": "https://terrierintelligence.com/professors/mohammad-soltanieh-ha", "topics": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/mohammad-soltanieh-ha.jpeg", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Robotics", "Healthcare", "Data Science" ], "bio": "A data scientist with a computational physics background whose research explores embodied AI, interactive avatars, and socially impactful applications of large language models. He teaches courses spanning big data analytics, cloud computing, and Python and R programming, and advocates for integrating data science into undergraduate curricula.", "website_url": "https://www.bu.edu/questrom/profiles/mohammad-soltaniehha/", "email": "msoltani@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-148", "slug": "nachiketa-sahoo", "name": "Nachiketa Sahoo", "url": "https://terrierintelligence.com/professors/nachiketa-sahoo", "topics": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/nachiketa-sahoo.jpg", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "bio": "A machine-learning and information-systems researcher who studies how user preferences and decision processes can be learned from large-scale activity data to improve personalized recommendations. His work applies recommender systems and statistical models to e-commerce, digital media, and philanthropic giving, and he helped design the school's business analytics master's program.", "website_url": "https://www.bu.edu/questrom/profiles/nachiketa-sahoo/", "email": "nachi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-149", "slug": "nicholas-crossland", "name": "Nicholas Crossland", "url": "https://terrierintelligence.com/professors/nicholas-crossland", "topics": [ "ML Theory", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/nicholas-crossland.jpg", "departments": [ "Pathology and Laboratory Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare" ], "bio": "A pathologist who investigates how highly pathogenic microbes interact with their hosts, combining classical pathology with spatial transcriptomics, quantitative image analysis, and deep learning-based spatial immunoprofiling. His lab evaluates medical countermeasures against infectious diseases such as tuberculosis and filovirus infection, and he mentors master's and PhD students.", "website_url": "https://www.bu.edu/hic/profile/nicholas-crossland/", "email": "ncrossla@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-150", "slug": "nicholas-wagner", "name": "Nicholas Wagner", "url": "https://terrierintelligence.com/professors/nicholas-wagner", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/nicholas-wagner.jpg", "departments": [ "Psychological and Brain Sciences", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Statistics" ], "bio": "A developmental psychologist who examines how early experiences and self-regulation shape children's social and emotional development from infancy to early adolescence. His lab measures development at behavioral, experiential, and biological levels, studying outcomes from empathy to callous-unemotional traits, and undergraduate and graduate students assist with its research.", "website_url": "https://www.bu.edu/hic/profile/nicholas-wagner/", "email": "njwagner@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-151", "slug": "noora-lori", "name": "Noora Lori", "url": "https://terrierintelligence.com/professors/noora-lori", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/noora-lori.jpg", "departments": [ "International Relations", "Pardee School of Global Studies" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A political scientist whose research examines citizenship and forced migration in the Middle East, showing how states can hold residents in prolonged temporary status without citizenship rights. Her book Offshore Citizens studies the United Arab Emirates, and she directs the Initiative on Forced Migration and Human Trafficking.", "website_url": "https://www.bu.edu/hic/profile/noora-lori/", "email": "nlori@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.0104+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-152", "slug": "orkun-baycik", "name": "Orkun Baycik", "url": "https://terrierintelligence.com/professors/orkun-baycik", "topics": [ "ML Theory", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/orkun-baycik.jpeg", "departments": [ "Markets, Public Policy, and Law", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences" ], "bio": "An operations researcher who applies machine learning, optimization, and prescriptive analytics to modeling and disrupting illegal supply chains, digital transformation of operations, and data analytics for nonprofits. He teaches business analytics courses, including spreadsheet optimization, simulation, and causal methods for business experiments.", "website_url": null, "email": "nobaycik@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-153", "slug": "pankaj-mehta", "name": "Pankaj Mehta", "url": "https://terrierintelligence.com/professors/pankaj-mehta", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/pankaj-mehta.jpg", "departments": [ "Physics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A theoretical physicist working at the interface of statistical physics, machine learning, and biology. He studies how cell fates emerge from biomolecular interactions, ecological principles in microbial communities, and the theory of learning, and develops new ML methods for analyzing biological data.", "website_url": "https://www.bu.edu/cds-faculty/profile/pankaj-mehta/", "email": "pankajm@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-154", "slug": "paola-sebastiani", "name": "Paola Sebastiani", "url": "https://terrierintelligence.com/professors/paola-sebastiani", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/paola-sebastiani.jpg", "departments": [ "Biostatistics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A biostatistician who develops Bayesian modeling and machine-learning methods for genetic and genomic data, dissecting the biological basis of complex traits. Her work includes network models predicting complications of sickle cell anemia and long-running statistical studies of human longevity, including the New England Centenarian Study.", "website_url": null, "email": "sebas@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-155", "slug": "pary-fassihi", "name": "Pary Fassihi", "url": "https://terrierintelligence.com/professors/pary-fassihi", "topics": [ "Generative AI/Tools", "Ethics", "Education" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/pary-fassihi.jpg", "departments": [ "Writing Program" ], "research_interests": [ "Generative AI/Tools", "Ethics", "Education" ], "bio": "A writing instructor whose work examines how generative AI tools can support academic writing instruction and AI literacy. She teaches AI-intensive writing courses, develops flipped-learning modules and other digital course materials, and serves on the Provost's AI Task Force, exploring generative AI activities in the classroom.", "website_url": "https://www.bu.edu/writingprogram/profile/pary-fassihi/", "email": "fassihi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-044" ] }, { "type": "professor", "id": "prof-156", "slug": "patricia-fabian", "name": "Patricia Fabian", "url": "https://terrierintelligence.com/professors/patricia-fabian", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/patricia-fabian.jpg", "departments": [ "Environmental Health", "School of Public Health" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "bio": "An environmental health researcher who studies how the built environment shapes health disparities, combining systems science models, geographic information system mapping, and high-resolution sensor data. Her projects link housing conditions, indoor air quality, and energy use to health, informing climate resilience efforts in Boston schools and frontline communities.", "website_url": null, "email": "pfabian@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-157", "slug": "paul-carlile", "name": "Paul Carlile", "url": "https://terrierintelligence.com/professors/paul-carlile", "topics": [ "ML Theory", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/paul-carlile.jpg", "departments": [ "Information Systems", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science" ], "bio": "An organizational scholar who examines the knowledge boundaries that separate people in different expertise domains and how they can be crossed to enhance collaboration and innovation. His work spans product development in industries such as automotive, software, and pharmaceuticals, along with studies of data-driven practices in healthcare organizations.", "website_url": "https://www.bu.edu/questrom/profiles/paul-carlile/", "email": "carlile@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-158", "slug": "peixi-liao", "name": "Peixi Liao", "url": "https://terrierintelligence.com/professors/peixi-liao", "topics": [ "ML Theory", "Robotics", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/peixi-liao.jpeg", "departments": [ "Department of Restorative Sciences and Biomaterials", "Goldman School of Dental Medicine" ], "research_interests": [ "ML Theory", "Robotics", "Physical Sciences" ], "bio": "A prosthodontics researcher focused on digital dentistry, developing data-driven diagnostic approaches and virtual simulation technologies for restorative treatment planning. He has founded and taught courses on digital dentistry in prosthodontics and restorative science, and serves as president of the International Association for Dental Research's Prosthodontics Group.", "website_url": null, "email": "liaopx@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-159", "slug": "peter-blake", "name": "Peter Blake", "url": "https://terrierintelligence.com/professors/peter-blake", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/peter-blake.jpeg", "departments": [ "Psychological & Brain Sciences", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A developmental psychologist who studies how children come to understand the social world, running cognitive and behavioral experiments with children ages two to twelve on fairness, cooperation, and ownership. He collaborates with game theorists and anthropologists and compares social development across cultures to identify common patterns.", "website_url": "https://www.bu.edu/hic/profile/peter-blake/", "email": "pblake@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-160", "slug": "qiang-cui", "name": "Qiang Cui", "url": "https://terrierintelligence.com/professors/qiang-cui", "topics": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/qiang-cui.jpg", "departments": [ "Chemistry", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "bio": "A theoretical and computational chemist who develops and applies multiscale simulation methods, including quantum mechanics/molecular mechanics and coarse-grained models, to chemical and biological problems. His group studies enzyme catalysis, biological membrane remodeling, and the nano-bio interface, with an emphasis on processes spanning multiple length and time scales.", "website_url": "https://www.bu.edu/eng/profile/qiang-cui-ph-d/", "email": "qiangcui@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-162", "slug": "reza-rawassizadeh", "name": "Reza Rawassizadeh", "url": "https://terrierintelligence.com/professors/reza-rawassizadeh", "topics": [ "ML Theory", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/reza-rawassizadeh.jpg", "departments": [ "Computer Science" ], "research_interests": [ "ML Theory", "Healthcare" ], "bio": "A computer scientist who builds resource-efficient machine learning algorithms for battery-powered devices such as smartwatches, fitness trackers, and small robots. His work enables models to run entirely on-device, without cloud infrastructure or network connections, supporting applications in digital health and ubiquitous computing.", "website_url": "https://www.bu.edu/met/profile/reza-rawassizadeh/", "email": "rezar@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-053", "cls-054" ] }, { "type": "professor", "id": "prof-163", "slug": "rhoda-au", "name": "Rhoda Au", "url": "https://terrierintelligence.com/professors/rhoda-au", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/rhoda-au.jpg", "departments": [ "Anatomy and Neurobiology", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A neuropsychologist who develops digital biomarkers for cognitive aging, applying voice analysis and other sensor technologies to detect early signs of dementia. As a principal investigator of the Framingham Heart Study Brain Aging Program, she works to build scalable, technology-agnostic platforms for monitoring brain health across populations.", "website_url": "https://www.bu.edu/hic/profile/rhoda-au/", "email": "rhodaau@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-164", "slug": "roscoe-giles", "name": "Roscoe Giles", "url": "https://terrierintelligence.com/professors/roscoe-giles", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/roscoe-giles.jpeg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A computational scientist whose research applies high-performance and parallel computing to physics and materials problems, from quantum field theory to simulations of magnetic materials. He currently focuses on helping AI and ML research and education communities gain improved access to large-scale high-performance computing systems.", "website_url": "https://www.bu.edu/eng/profile/roscoe-giles/", "email": "roscoe@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-165", "slug": "samuel-bazzi", "name": "Samuel Bazzi", "url": "https://terrierintelligence.com/professors/samuel-bazzi", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/samuel-bazzi.jpeg", "departments": [ "Economics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "bio": "A development economist whose research examines migration, culture, and political economy, asking how individuals and nations adapt to diversity in a globalized world. He applies econometric methods to study labor mobility, the cultural effects of migration, and the links between economic shocks and conflict.", "website_url": null, "email": "sbazzi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-166", "slug": "sarah-bargal", "name": "Sarah Bargal", "url": "https://terrierintelligence.com/professors/sarah-bargal", "topics": [ "ML Theory", "Neuroscience", "Data Science", "Humanities" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/sarah-bargal.jpg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Neuroscience", "Data Science", "Humanities" ], "bio": "A machine learning and computer vision researcher whose work focuses on making AI systems explainable and accountable to humans and society. Her research spans image and video understanding and the interpretability of deep neural networks, and she has co-directed the AI4ALL program at BU.", "website_url": null, "email": "sbargal@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-167", "slug": "sarah-frederick", "name": "Sarah Frederick", "url": "https://terrierintelligence.com/professors/sarah-frederick", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/sarah-frederick.jpeg", "departments": [ "World Languages and Comparative Literature", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Data Science" ], "bio": "A scholar of modern Japanese literature whose work examines mass media, gender, and print culture, with a focus on interwar women's magazines. Her digital humanities projects apply geographic information system mapping to literary texts, including a collaborative effort charting writers' travels through Kyoto.", "website_url": "https://www.bu.edu/hic/profile/sarah-frederick/", "email": "sfred@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-168", "slug": "scott-hirst", "name": "Scott Hirst", "url": "https://terrierintelligence.com/professors/scott-hirst", "topics": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/scott-hirst.jpg", "departments": [ "School of Law" ], "research_interests": [ "ML Theory", "Data Science", "Physical Sciences", "Social Science" ], "bio": "A corporate law scholar whose empirical research examines corporate governance, shareholder voting, and the influence of index funds and institutional investors. He combines quantitative evidence with concepts from finance, accounting, and economics to explain how corporations and investors make decisions and to inform policy making.", "website_url": "https://www.bu.edu/hic/profile/scott-hirst/", "email": "hirst@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-169", "slug": "sean-b-andersson", "name": "Sean B. Andersson", "url": "https://terrierintelligence.com/professors/sean-b-andersson", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/sean-b-andersson.png", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "Robotics" ], "bio": "A systems and control researcher whose work spans robotics and nanobioscience. He develops feedback control and estimation methods for real-time single-particle tracking microscopy, which keep individual nanometer-scale particles inside a microscope's detection volume, and applies related control and estimation techniques to problems in robotics.", "website_url": "https://www.bu.edu/hic/profile/sean-b-andersson/", "email": "sanderss@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-170", "slug": "selim-unlu", "name": "Selim Ünlü", "url": "https://terrierintelligence.com/professors/selim-unlu", "topics": [ "ML Theory", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/selim-unlu.jpg", "departments": [ "ECE, BME, MSE", "College of Engineering" ], "research_interests": [ "ML Theory", "Physical Sciences" ], "bio": "A photonics researcher who develops optical imaging and biosensing techniques, including interferometric reflectance sensors that detect individual viruses, nanoparticles, and single molecules without labels. His work applies high-resolution microscopy to biological diagnostics and to imaging semiconductor devices and integrated circuits.", "website_url": "https://www.bu.edu/eng/profile/selim-unlu/", "email": "selim@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-171", "slug": "shanshan-sheehy", "name": "Shanshan Sheehy", "url": "https://terrierintelligence.com/professors/shanshan-sheehy", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/shanshan-sheehy.jpg", "departments": [ "Slone Epidemiology Center", "School of Medicine" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "bio": "An epidemiologist whose research examines cardiometabolic health, pregnancy complications, and health disparities, largely through prospective cohort studies such as the Black Women's Health Study. She analyzes genetic, clinical, and survey data to identify risk factors for cardiovascular disease, stroke, and Alzheimer's disease among African American women.", "website_url": "https://www.bu.edu/hic/profile/shanshan-sheehy/", "email": "shl607@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-172", "slug": "shariq-mohammed", "name": "Shariq Mohammed", "url": "https://terrierintelligence.com/professors/shariq-mohammed", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/shariq-mohammed.jpeg", "departments": [ "Biostatistics", "School of Public Health" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Statistics" ], "bio": "A biostatistician who develops methods combining hierarchical Bayesian modeling, variable selection, and spatial statistics for complex biomedical data. His group applies these tools to imaging, spatial-omics, and digital health datasets, addressing questions in oncology and in neurodegenerative conditions such as Alzheimer's disease and dementia.", "website_url": "https://www.bu.edu/hic/profile/shariq-mohammad/", "email": "shariqm@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-173", "slug": "sheila-russo", "name": "Sheila Russo", "url": "https://terrierintelligence.com/professors/sheila-russo", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/sheila-russo.jpg", "departments": [ "Mechanical Engineering, Materials Science and Engineering", "College of Engineering" ], "research_interests": [ "Robotics" ], "bio": "A surgical robotics researcher who designs miniaturized soft robots for minimally invasive procedures. Her group combines soft materials, sensing and actuation, and meso- and micro-scale manufacturing to build flexible surgical instruments, including robotic systems for diagnosing and treating lung cancer inside the body.", "website_url": "https://www.bu.edu/eng/profile/sheila-russo-phd/", "email": "russos@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-030" ], "class_ids": [ "cls-050" ] }, { "type": "professor", "id": "prof-174", "slug": "shengzhi-zhang", "name": "Shengzhi Zhang", "url": "https://terrierintelligence.com/professors/shengzhi-zhang", "topics": [ "Robotics", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/shengzhi-zhang.jpeg", "departments": [ "Computer Science", "Metropolitan College" ], "research_interests": [ "Robotics", "Security" ], "bio": "A computer security researcher whose work examines how attackers compromise modern computing platforms and how to defend them. He studies AI security alongside the security of Internet of Things devices, automobiles, and operating systems, analyzing vulnerabilities in these systems and developing practical protections.", "website_url": "https://www.bu.edu/met/profile/shengzhi-zhang/", "email": "shengzhi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-175", "slug": "sheryl-grace", "name": "Sheryl Grace", "url": "https://terrierintelligence.com/professors/sheryl-grace", "topics": [ "ML Theory", "Robotics", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/sheryl-grace.jpg", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "Physical Sciences" ], "bio": "An aerospace engineering researcher who studies unsteady aerodynamics and aeroacoustics, the physics of noise generated by airflow. Her group develops and benchmarks computational fluid dynamics approaches for predicting fan noise in aircraft engines and examines inverse methods that identify noise sources from measured acoustic data.", "website_url": "https://www.bu.edu/eng/profile/sheryl-grace-ph-d/", "email": "sgrace@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-176", "slug": "simone-gill", "name": "Simone Gill", "url": "https://terrierintelligence.com/professors/simone-gill", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/simone-gill.jpeg", "departments": [ "Occupational Therapy", "Sargent College" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A movement scientist who studies how walking and motor function change across the lifespan, focusing on how obesity affects gait and fall risk. Her Motor Development Laboratory analyzes movement with three-dimensional motion capture, wearable sensors, and digital pressure mats, including studies of patients before and after bariatric surgery.", "website_url": "https://www.bu.edu/hic/profile/simone-gill/", "email": "simvgill@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-177", "slug": "sophie-hao", "name": "Sophie Hao", "url": "https://terrierintelligence.com/professors/sophie-hao", "topics": [ "ML Theory", "NLP/LLMs", "Ethics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/sophie-hao.png", "departments": [ "Linguistics", "Computing & Data Sciences", "College of Arts & Sciences", "CDS" ], "research_interests": [ "ML Theory", "NLP/LLMs", "Ethics" ], "bio": "A computational linguist whose research develops interpretability methods for natural language processing, working toward a science of deep neural language models. Her group studies how models represent linguistic structure, using probing, feature attribution, and formal analysis of neural architectures, with attention to bias and fairness.", "website_url": "https://www.bu.edu/linguistics/profile/sophie-hao/", "email": "hao@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-178", "slug": "stephen-grossberg", "name": "Stephen Grossberg", "url": "https://terrierintelligence.com/professors/stephen-grossberg", "topics": [ "ML Theory", "NLP/LLMs", "Robotics", "Neuroscience" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/stephen-grossberg.jpeg", "departments": [ "Mathematics and Statistics, Psychological and Brain Sciences, Biomedical Engineering", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "NLP/LLMs", "Robotics", "Neuroscience" ], "bio": "A theoretical neuroscientist who models how the brain learns to attend, categorize, and predict events in a changing world. He co-developed Adaptive Resonance Theory, a family of neural network models that learn incrementally without erasing prior memories and are applied to pattern recognition and prediction.", "website_url": "https://www.bu.edu/eng/profile/stephen-grossberg-ph-d/", "email": "steve@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-179", "slug": "sucharita-gopal", "name": "Sucharita Gopal", "url": "https://terrierintelligence.com/professors/sucharita-gopal", "topics": [ "Environment", "Social Science", "Policy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/sucharita-gopal.jpg", "departments": [ "Earth & Environment", "College of Arts and Sciences" ], "research_interests": [ "Environment", "Social Science", "Policy" ], "bio": "A geographer who applies neural networks and machine learning to remote sensing, geographic information systems, and spatial analysis. Her projects pair these methods with policy questions, including marine spatial planning in Massachusetts, malaria risk mapping in Ethiopia, and mapping health service delivery in Zambia.", "website_url": "https://www.bu.edu/earth/profiles/sucharita-gopal/", "email": "suchi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-180", "slug": "suresh-kalathur", "name": "Suresh Kalathur", "url": "https://terrierintelligence.com/professors/suresh-kalathur", "topics": [ "ML Theory", "Data Science", "Environment", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/suresh-kalathur.jpeg", "departments": [ "Computer Science", "Metropolitan College" ], "research_interests": [ "ML Theory", "Data Science", "Environment", "Social Science" ], "bio": "A computer scientist focused on data analytics and analytics education who directs graduate analytics programs and helped establish a master's degree in applied data analytics. He teaches courses in analytics, data visualization, and server-side web development, and builds classroom tools that give students real-time feedback during lectures.", "website_url": "https://www.bu.edu/met/profile/suresh-kalathur/", "email": "kalathur@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-23T01:51:10.159455+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-181", "slug": "swathi-kiran", "name": "Swathi Kiran", "url": "https://terrierintelligence.com/professors/swathi-kiran", "topics": [ "Computer Vision", "NLP/LLMs", "Healthcare", "Neuroscience" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/swathi-kiran.jpg", "departments": [ "Speech, Language, and Hearing Sciences", "Sargent College" ], "research_interests": [ "Computer Vision", "NLP/LLMs", "Healthcare", "Neuroscience" ], "bio": "A speech-language neuroscientist who studies how the brain recovers language after stroke, focusing on aphasia rehabilitation and bilingual language recovery. Her work combines neuroimaging, behavioral treatment studies, and computational modeling to predict rehabilitation outcomes, and she co-founded a digital therapy platform that uses machine learning to personalize exercises.", "website_url": "https://www.bu.edu/cds-faculty/profile/swathi-kiran/", "email": "kirans@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-182", "slug": "taylor-boas", "name": "Taylor Boas", "url": "https://terrierintelligence.com/professors/taylor-boas", "topics": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/taylor-boas.jpg", "departments": [ "Political Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Policy" ], "bio": "A comparative political scientist who studies electoral politics, public opinion, and political behavior in Latin America, with attention to religion, accountability, and mass media. He tests how voters respond to information using survey and field experiments, pre-registered designs, and cross-country meta-analyses, and teaches quantitative research methods.", "website_url": "https://www.bu.edu/hic/profile/taylor-boas/", "email": "tboas@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-183", "slug": "terry-ellis", "name": "Terry Ellis", "url": "https://terrierintelligence.com/professors/terry-ellis", "topics": [ "ML Theory", "Robotics", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/terry-ellis.jpg", "departments": [ "Physical Therapy & Athletic Training", "Sargent College" ], "research_interests": [ "ML Theory", "Robotics", "Healthcare" ], "bio": "A neurorehabilitation researcher who studies walking impairments in people with Parkinson disease and develops interventions to improve real-world mobility. Her work applies wearable sensors, digital health technology, and soft robotic exosuits to measure gait and reduce freezing episodes, and she directs BU's Center for Neurorehabilitation.", "website_url": null, "email": "tellis@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-184", "slug": "tesary-lin", "name": "Tesary Lin", "url": "https://terrierintelligence.com/professors/tesary-lin", "topics": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/tesary-lin.png", "departments": [ "Marketing", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Social Science", "Economy" ], "bio": "A quantitative marketing researcher who examines how data and privacy shape relationships between firms and consumers. Her work studies consumer privacy preferences and how privacy regulation, choice architecture, and algorithms affect digital markets and consumer welfare, informing analytics tools adapted to the modern information environment.", "website_url": "https://www.bu.edu/questrom/profiles/tesary-lin/", "email": "tesary@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-185", "slug": "thomas-byrne", "name": "Thomas Byrne", "url": "https://terrierintelligence.com/professors/thomas-byrne", "topics": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/thomas-byrne.jpg", "departments": [ "Social Welfare Policy", "School of Social Work" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Statistics" ], "bio": "A social welfare policy researcher who studies the causes, consequences, and policy solutions of homelessness and housing insecurity. His work applies quantitative and quasi-experimental methods to administrative data, examining how housing markets, prevention programs, and housing assistance shape homelessness rates and health outcomes, including among veterans.", "website_url": null, "email": "tbyrne@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-186", "slug": "thomas-kepler", "name": "Thomas Kepler", "url": "https://terrierintelligence.com/professors/thomas-kepler", "topics": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/thomas-kepler.jpg", "departments": [ "Microbiology Department", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Physical Sciences" ], "bio": "A computational immunologist who develops mathematical and statistical tools to study antibody evolution and B-cell responses. His laboratory combines these methods with systems-level experiments to guide vaccine design, including computational selection of immunogens for candidate vaccines against HIV, influenza, and anthrax.", "website_url": null, "email": "tbkepler@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-187", "slug": "thomas-little", "name": "Thomas Little", "url": "https://terrierintelligence.com/professors/thomas-little", "topics": [ "Robotics", "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/thomas-little.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "Robotics", "Environment" ], "bio": "A networking and communications researcher who develops technologies for smart, connected systems. His work spans optical wireless and visible-light communication, vehicular networks, and pervasive computing, and he directs BU's Multimedia Communications Laboratory, which builds enabling technologies and applications for interactive multimedia systems.", "website_url": "https://www.bu.edu/eng/profile/thomas-little/", "email": "tdcl@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-188", "slug": "tianyu-wang", "name": "Tianyu Wang", "url": "https://terrierintelligence.com/professors/tianyu-wang", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/tianyu-wang.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Physical Sciences" ], "bio": "A computational imaging and photonics researcher who harnesses optical physics to build more efficient sensors and processors. His laboratory studies information processing in physical systems, developing photonic hardware for artificial neural networks and quantum-inspired light sources for deep-tissue imaging, with applications in sensing, communication, and AI computing.", "website_url": "https://www.bu.edu/eng/profile/tianyu-wang-phd/", "email": "wangty@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-189", "slug": "timothy-brown", "name": "Timothy Brown", "url": "https://terrierintelligence.com/professors/timothy-brown", "topics": [ "ML Theory", "Healthcare", "Statistics" ], "last_verified": "2026-08-22", "image_url": null, "departments": [ "Psychological and Brain Sciences", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Healthcare", "Statistics" ], "bio": "A clinical psychologist whose work centers on the classification of anxiety and mood disorders, temperament, and psychopathology, alongside research methodology and psychometrics. He directs research at BU's Center for Anxiety and Related Disorders and teaches multivariate statistics, including structural equation and latent growth modeling.", "website_url": null, "email": "tabrown@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-190", "slug": "ting-fang-alvin-ang", "name": "Ting Fang Alvin Ang", "url": "https://terrierintelligence.com/professors/ting-fang-alvin-ang", "topics": [ "ML Theory", "Statistics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/ting-fang-alvin-ang.jpg", "departments": [ "Anatomy & Neurobiology", "School of Medicine" ], "research_interests": [ "ML Theory", "Statistics" ], "bio": "A physician-researcher who studies Alzheimer disease and traumatic brain injury through the Framingham Heart Study. His work manages and analyzes large longitudinal cohort data, applying conventional statistical and machine-learning techniques to improve understanding, clinical guidelines, and practice around neurocognitive disorders.", "website_url": "https://www.bu.edu/hic/profile/ting-fang-alvin-ang/", "email": "alvinang@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-191", "slug": "tommaso-ranzani", "name": "Tommaso Ranzani", "url": "https://terrierintelligence.com/professors/tommaso-ranzani", "topics": [ "Robotics" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/tommaso-ranzani.jpeg", "departments": [ "Mechanical Engineering, Biomedical Engineering, and in the Division of Materials Science and Engineering", "College of Engineering" ], "research_interests": [ "Robotics" ], "bio": "A soft-robotics researcher who designs bioinspired robots that operate in complex environments, from minimally invasive surgery to underwater exploration. His Morphable Biorobotics Lab develops soft manipulators and wearable devices, including a soft robot that guides interventional tools inside the beating heart with an expandable stabilization mechanism.", "website_url": "https://www.bu.edu/hic/profile/tommaso-ranzani/", "email": "tranzani@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-192", "slug": "tugba-efendigil", "name": "Tugba Efendigil", "url": "https://terrierintelligence.com/professors/tugba-efendigil", "topics": [ "ML Theory", "Data Science", "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/tugba-efendigil.jpeg", "departments": [ "Operations and Technology Management", "Questrom School of Business" ], "research_interests": [ "ML Theory", "Data Science", "Environment" ], "bio": "A supply chain researcher who studies digital transformation and circular supply chains, designing forward and reverse flows that support agile, resilient operations. Her work applies technology and analytics to supply chain optimization, drawing on prior research experience at MIT and in industry.", "website_url": "https://www.bu.edu/questrom/profiles/tugba-efendigil/", "email": "tugbae@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-193", "slug": "vijaya-kolachalama", "name": "Vijaya Kolachalama", "url": "https://terrierintelligence.com/professors/vijaya-kolachalama", "topics": [ "ML Theory", "Healthcare", "Neuroscience" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/vijaya-kolachalama.jpg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience" ], "bio": "A machine-learning and precision-medicine researcher who develops software frameworks that assist clinicians in real-world settings. His laboratory works on biomedical machine vision, multimodal representation learning, and domain generalization, including AI tools that support diagnosis of Alzheimer disease and related dementias.", "website_url": "https://www.bu.edu/cs/profiles/vkola/", "email": "vkola@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-027" ], "class_ids": [] }, { "type": "professor", "id": "prof-194", "slug": "vipul-chitalia", "name": "Vipul Chitalia", "url": "https://terrierintelligence.com/professors/vipul-chitalia", "topics": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/vipul-chitalia.jpg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Computer Vision", "NLP/LLMs", "Healthcare" ], "bio": "A physician-scientist who studies vascular pathologies in cancer and renal failure, focusing on post-translational protein modifications such as polyubiquitination. His laboratory combines cellular and molecular biology, animal models, and computational and machine-learning methods, validating findings in humanized models and large human databases.", "website_url": "https://www.bu.edu/hic/profile/vipul-chitalia/", "email": "vichital@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-195", "slug": "wei-lun-chao", "name": "Wei-Lun Chao", "url": "https://terrierintelligence.com/professors/wei-lun-chao", "topics": [ "Computer Vision" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/wei-lun-chao.png", "departments": [ "Electrical & Computer Engineering", "College of Engineering" ], "research_interests": [ "Computer Vision" ], "bio": "A machine-learning and computer-vision researcher who studies learning from imperfect data, including limited, noisy, and distribution-shifting sources. 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Her research combines satellite observations with physics-based modeling and machine-learning approaches to quantitatively assess radiation-belt electron dynamics and solar wind-magnetosphere coupling.", "website_url": "https://www.bu.edu/hic/profile/wen-li/", "email": "wenli77@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-197", "slug": "wenchao-li", "name": "Wenchao Li", "url": "https://terrierintelligence.com/professors/wenchao-li", "topics": [ "ML Theory", "Robotics", "AI Safety" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/wenchao-li.jpg", "departments": [ "Electrical and Computer Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Robotics", "AI Safety" ], "bio": "A dependable-computing researcher whose work sits at the intersection of formal methods and machine learning, focusing on neuro-symbolic reasoning and the safety and trustworthiness of AI-driven autonomous systems. His laboratory develops computational proof techniques with applications from design automation to multi-robot systems and self-driving cars.", "website_url": "https://www.bu.edu/hic/profile/wenchao-li/", "email": "wenchao@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [ "lab-023" ], "class_ids": [] }, { "type": "professor", "id": "prof-198", "slug": "william-adams", "name": "William Adams", "url": "https://terrierintelligence.com/professors/william-adams", "topics": [ "ML Theory", "Healthcare", "Data Science", "Environment" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/william-adams.jpeg", "departments": [ "Pediatrics", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Environment" ], "bio": "A pediatrician and clinical informatics researcher who develops and evaluates health information technology for children and families. His projects build electronic health record tools, patient-facing systems, and interactive voice-response interfaces aimed at improving care quality, medication safety, and health equity in urban pediatric populations.", "website_url": null, "email": "badams@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-199", "slug": "xiaoling-zhang", "name": "Xiaoling Zhang", "url": "https://terrierintelligence.com/professors/xiaoling-zhang", "topics": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/xiaoling-zhang.jpg", "departments": [ "Medicine", "School of Medicine" ], "research_interests": [ "ML Theory", "Healthcare", "Neuroscience", "Data Science" ], "bio": "A bioinformatician and statistical geneticist who searches for genetic risk factors of complex diseases and the functional mechanisms behind them. Her lab integrates genome-wide DNA and RNA sequencing with statistical modeling, systems biology, and machine learning, focusing on Alzheimer's disease and its genetic overlap with cardiometabolic disorders.", "website_url": "https://www.bu.edu/hic/profile/xiaoling-zhang/", "email": "zhangxl@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-200", "slug": "xin-zhang", "name": "Xin Zhang", "url": "https://terrierintelligence.com/professors/xin-zhang", "topics": [ "ML Theory", "Healthcare", "Physical Sciences" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/xin-zhang.jpg", "departments": [ "Mechanical Engineering", "College of Engineering" ], "research_interests": [ "ML Theory", "Healthcare", "Physical Sciences" ], "bio": "An engineer whose research develops metamaterials and microelectromechanical systems for photonic, acoustic, and medical-imaging applications. Her Laboratory for Microsystems Technology builds structures that improve magnetic resonance imaging signal quality and enable air-permeable sound silencing, operating as a student-centered, interdisciplinary research and education program.", "website_url": "https://www.bu.edu/eng/profile/xin-zhang-ph-d/", "email": "xinz@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-201", "slug": "xuezhou-zhang", "name": "Xuezhou Zhang", "url": "https://terrierintelligence.com/professors/xuezhou-zhang", "topics": [ "ML Theory", "Data Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/xuezhou-zhang.jpeg", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "ML Theory", "Data Science" ], "bio": "A machine-learning theorist who designs interactive learning algorithms, spanning online learning, reinforcement learning, and algorithmic game theory. His work builds reinforcement-learning methods that are sample efficient and robust to noisy or adversarial feedback, with applications including language-model-assisted drug repurposing from scientific literature.", "website_url": "https://www.bu.edu/hic/profile/xuezhou-zhang/", "email": "xuezhouz@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-202", "slug": "yuhei-miyauchi", "name": "Yuhei Miyauchi", "url": "https://terrierintelligence.com/professors/yuhei-miyauchi", "topics": [ "ML Theory", "Data Science", "Environment", "Social Science" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/yuhei-miyauchi.jpg", "departments": [ "Economics", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "Data Science", "Environment", "Social Science" ], "bio": "An economist who studies how networks of production, demand, and human mobility shape economic activity within cities and across regions. He combines models from trade, urban, and macroeconomics with granular data sources, including firm-to-firm transaction records and smartphone location data, to inform policy design.", "website_url": "https://www.bu.edu/hic/profile/yuhei-miyauchi/", "email": "miyauchi@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-203", "slug": "yuting-zhang", "name": "Yuting Zhang", "url": "https://terrierintelligence.com/professors/yuting-zhang", "topics": [ "ML Theory", "Healthcare", "Data Science", "Security" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/yuting-zhang.jpg", "departments": [ "Computer Science", "Metropolitan College" ], "research_interests": [ "ML Theory", "Healthcare", "Data Science", "Security" ], "bio": "A computer systems researcher focused on mobile security and computing, and on cybersecurity education. Her Mobile Computing and Security Lab supports research and teaching in mobile platform enhancement, application analysis, and mobile sensing, and she has developed courses in mobile forensics and secure software development.", "website_url": "https://www.bu.edu/met/profile/yuting-zhang/", "email": "danazh@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-204", "slug": "aaron-mueller", "name": "Aaron Mueller", "url": "https://terrierintelligence.com/professors/aaron-mueller", "topics": [ "ML Theory", "NLP/LLMs", "AI Safety" ], "last_verified": "2026-08-22", "image_url": "https://terrierintelligence.com/photos/aaron-mueller.jpeg", "departments": [ "Computer Science", "College of Arts and Sciences" ], "research_interests": [ "ML Theory", "NLP/LLMs", "AI Safety" ], "bio": "A natural language processing researcher who studies how to understand, improve, and precisely control language models. His work applies mechanistic interpretability, causal analysis, and cognitive-science-inspired evaluation to questions of model robustness and efficiency, mentoring students who lead publications on topics such as concept unlearning and model steering.", "website_url": "https://www.bu.edu/cs/profiles/aaron-mueller/", "email": "amueller@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-22", "created_at": "2026-08-06T19:46:14.692086+00:00", "verified": false, "updated_at": "2026-08-23T06:16:15.555+00:00", "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-205", "slug": "yves-atchade", "name": "Aguêmon Yves Atchadé", "url": "https://terrierintelligence.com/professors/yves-atchade", "topics": [ "Statistics", "ML Theory", "Environment" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/yves-atchade.jpg", "departments": [ "Mathematics & Statistics", "College of Arts & Sciences", "Computing & Data Sciences" ], "research_interests": [ "Statistics", "ML Theory", "Environment" ], "bio": "A computational statistician developing Markov chain Monte Carlo methods and studying the theoretical properties of Bayesian procedures. His work builds statistical machinery for high-dimensional inference and applies it to environmental prediction, spanning both the asymptotic theory of sampling algorithms and their practical use on large datasets.", "website_url": "http://math.bu.edu/people/atchade/", "email": "atchade@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-213", "slug": "michael-dietze", "name": "Michael Dietze", "url": "https://terrierintelligence.com/professors/michael-dietze", "topics": [ "Environment", "Statistics", "Data Science" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/michael-dietze.jpeg", "departments": [ "Earth & Environment", "College of Arts and Sciences", "Computing & Data Sciences" ], "research_interests": [ "Environment", "Statistics", "Data Science" ], "bio": "An ecological forecasting researcher whose lab builds iterative prediction systems that update continuously as new observations arrive, combining data assimilation, statistical modeling, and ecoinformatics. Applications span the terrestrial carbon cycle, vegetation phenology, and disease ecology. He chairs the Ecological Forecasting Initiative and leads the PEcAn project.", "website_url": "http://people.bu.edu/dietze", "email": "dietze@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": "https://scholar.google.com/citations?user=sYi3UiwAAAAJ&hl=en", "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-216", "slug": "thomas-gardos", "name": "Thomas Gardos", "url": "https://terrierintelligence.com/professors/thomas-gardos", "topics": [ "Computer Vision", "Data Science" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/thomas-gardos.jpg", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "Computer Vision", "Data Science" ], "bio": "A computer vision and signal processing researcher who spent three decades at Intel developing deep learning applications and algorithm specifications for ultra-low-power vision chips and contributing to international video compression standards. He directs the MS in Data Science program and previously served as Intel's researcher-in-residence at the MIT Media Lab.", "website_url": "https://www.bu.edu/cds-faculty/profile/thomas-gardos/", "email": "tgardos@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-218", "slug": "neha-gondal", "name": "Neha Gondal", "url": "https://terrierintelligence.com/professors/neha-gondal", "topics": [ "Social Science", "Data Science", "Healthcare" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/neha-gondal.jpg", "departments": [ "Sociology", "College of Arts and Sciences", "Computing & Data Sciences" ], "research_interests": [ "Social Science", "Data Science", "Healthcare" ], "bio": "A computational sociologist who studies how interpersonal and organizational networks reproduce cultural boundaries and status distinctions. She uses exponential random graph models, agent-based simulation, and machine learning across cases ranging from Renaissance Florentine moneylending to contemporary academic and public health inequalities.", "website_url": "https://www.bu.edu/cds-faculty/profile/neha-gondal/", "email": "gondal@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-220", "slug": "scott-ladenheim", "name": "Scott Ladenheim", "url": "https://terrierintelligence.com/professors/scott-ladenheim", "topics": [ "ML Theory", "Data Science" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/scott-ladenheim.jpg", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "ML Theory", "Data Science" ], "bio": "An applied mathematician working on deep learning and the iterative numerical methods that underpin large-scale scientific computing. Before joining the faculty he supported high-performance machine learning workloads at BU Research Computing Services, and his earlier research spanned applied mathematics, scientific computing, and quantum computing.", "website_url": "https://scottladenheim.com/", "email": "saladenh@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-222", "slug": "siddharth-mishra-sharma", "name": "Siddharth Mishra-Sharma", "url": "https://terrierintelligence.com/professors/siddharth-mishra-sharma", "topics": [ "Physical Sciences", "ML Theory", "Generative AI/Tools" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/siddharth-mishra-sharma.jpeg", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "Physical Sciences", "ML Theory", "Generative AI/Tools" ], "bio": "A researcher at the intersection of machine learning and fundamental physics who develops neural methods for simulation-based inference, scalable generative modeling, and symmetry-preserving data processing. He applies these to cosmology, astrophysics, and particle physics datasets, balancing data-driven scale against physics-informed structure.", "website_url": "https://www.bu.edu/cds-faculty/profile/siddharth-mishra-sharma/", "email": "smishras@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-224", "slug": "ngozi-okidegbe", "name": "Ngozi Okidegbe", "url": "https://terrierintelligence.com/professors/ngozi-okidegbe", "topics": [ "Ethics", "Policy", "Social Science" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/ngozi-okidegbe.jpeg", "departments": [ "Law", "School of Law", "Computing & Data Sciences" ], "research_interests": [ "Ethics", "Policy", "Social Science" ], "bio": "A legal scholar who examines how predictive technologies used in the criminal justice system affect racially marginalized communities. Her articles analyze the data underlying pretrial risk assessment tools and ask who holds decision-making power over how such algorithms are built and adopted.", "website_url": "https://www.bu.edu/cds-faculty/profile/okidegbe/", "email": "okidegbe@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-225", "slug": "krzysztof-onak", "name": "Krzysztof Onak", "url": "https://terrierintelligence.com/professors/krzysztof-onak", "topics": [ "ML Theory", "Data Science" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/krzysztof-onak.jpg", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "ML Theory", "Data Science" ], "bio": "An algorithms researcher focused on computing over massive datasets with limited resources, covering sublinear-time algorithms, streaming and sketching, and massively parallel computation. Recent projects address fairness in clustering, graph pattern mining, and estimating properties of probability distributions. His earlier industrial work covered resource allocation and scheduling.", "website_url": "https://onak.pl/", "email": "konak@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [ "cls-022" ] }, { "type": "professor", "id": "prof-226", "slug": "aldo-pacchiano", "name": "Aldo Pacchiano", "url": "https://terrierintelligence.com/professors/aldo-pacchiano", "topics": [ "ML Theory", "AI Safety", "Healthcare" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/aldo-pacchiano.png", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "ML Theory", "AI Safety", "Healthcare" ], "bio": "A machine learning theorist who studies how algorithms learn in adaptive environments, working on reinforcement learning, online learning, bandit problems, and algorithmic fairness. He designs methods with provable efficiency and safety guarantees and applies them to biomedical research questions.", "website_url": "https://www.aldopacchiano.ai/", "email": "pacchian@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-227", "slug": "joshua-peterson", "name": "Joshua Peterson", "url": "https://terrierintelligence.com/professors/joshua-peterson", "topics": [ "Social Science", "ML Theory", "Computer Vision" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/joshua-peterson.jpg", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "Social Science", "ML Theory", "Computer Vision" ], "bio": "A computational cognitive scientist who uses large behavioral datasets and machine learning to predict human judgment, covering risky decision-making, face perception, and visual object classification. Recent work tests long-standing behavioral economics theories against models fit to millions of human choices.", "website_url": "https://datascienceofthemind.org/", "email": "joshcp@bu.edu", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-229", "slug": "naomi-saphra", "name": "Naomi Saphra", "url": "https://terrierintelligence.com/professors/naomi-saphra", "topics": [ "NLP/LLMs", "ML Theory", "AI Safety" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/naomi-saphra.png", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "NLP/LLMs", "ML Theory", "AI Safety" ], "bio": "A natural language processing researcher who studies how language models change during training, connecting optimization behavior to the generalizations models end up making. Her work draws on linguistics, deep learning theory, and interpretability, and extends to applying interpretability methods to models used for scientific discovery.", "website_url": "https://www.bu.edu/cds-faculty/profile/naomi-saphra/", "email": "", "accepting_undergrad_researchers": null, "scholar_url": null, "last_verified_date": "2026-08-25", "created_at": "2026-08-25T18:01:04.989433+00:00", "verified": false, "updated_at": null, "lab_ids": [], "class_ids": [] }, { "type": "professor", "id": "prof-230", "slug": "chris-seferlis", "name": "Chris Seferlis", "url": "https://terrierintelligence.com/professors/chris-seferlis", "topics": [ "Generative AI/Tools", "Data Science" ], "last_verified": "2026-08-25", "image_url": "https://terrierintelligence.com/photos/chris-seferlis.jpg", "departments": [ "Computing & Data Sciences", "Faculty of Computing & Data Sciences" ], "research_interests": [ "Generative AI/Tools", "Data Science" ], "bio": "An enterprise data practitioner who teaches in the online Master's in Data Science program, drawing on work in cloud architecture, data warehousing, and business intelligence. 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