Huimin Cheng

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.