Wei-Lun Chao

A machine-learning and computer-vision researcher who studies learning from imperfect data, including limited, noisy, and distribution-shifting sources. His work develops methods for federated learning and robust visual recognition that keep models reliable under such conditions, with applications spanning autonomous driving, biodiversity monitoring, and healthcare.