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

Xinyao (Yoyo) Wu (2023-present)

B.Sc. and M.S.@Imperial College London, Ph.D.@CUHK
📚 MICCAI'24-25, MedIA'25, ICLR'26

Continual Learning Medical VLM Foundation Model
Ying (Dani) Dan

Ying (Dani) Dan (2026-present)

B.Sc.@STU, Ph.D.@CUHK
📚 MICCAI'26

Clinical World Model Stroke Foundation Model

Former Mentees

  • Wentao Pan (M.S. @ Tsinghua, 2021-2024): Now Ph.D. candidate @ CUHK EE (HKPFS) /📚: TMI'22, PR'25
  • Yinuo Wang (Ph.D. candidate @ BUAA, 2024-2025) /📚: CMIG'25
  • Ritvik Pulya (High School Intern @ Harvard, 2019-2020): JHU'25 -> Vandy Med MA /📚: MICCAI'20