Vision
We work on building affordable, robust, and scalable medical AI co-pilots that can trustworthily perceive, reason, reflect, and act in complex clinical environments, with recent focus on label-efficient learning, multimodal foundation models, continual learning, self-evolving AI, World Models, and agentic AI systems for healthcare applications.
Note: I am spending my postdoc year at Columbia University in New York. I will join a top university in Shanghai afterward and plan to recruit multiple Ph.D./Master students (2027 Fall). If you are interested in cutting-edge topics in Healthcare AI (e.g., AI Agents, World Models, VLM, Continual Learning), feel free to reach out.
Ph.D. Students
Xinyao (Yoyo) Wu (2023-present)
Ying (Dani) Dan (2026-present)
HK | Boston | NYC
Google Scholar
LinkedIn