Yukun Zhou
Yukun Zhou

Wellcome Research Fellow

About Me

Yukun Zhou is a Wellcome Early-Career Research Fellow (5-year fellowship) and Principal Investigator at UCL, specialising in artificial intelligence for healthcare. His research focuses on foundational methodological development and large-scale translational applications. He completed his PhD at UCL in January 2024 under the supervision of Professor Daniel C. Alexander and Professor Pearse A. Keane. Prior to that, he received both his undergraduate and master’s degrees from Beihang University.

Interests
  • Artificial Intelligence for Healthcare
  • Multi-modal Foundation Model
  • Agentic AI
Education
  • PhD Medical Imaging

    University College London

  • MPhil Signal Processing

    Beihang University

  • BEng Mechanical Engineering

    Beihang University

📚 My Research
My research interest spans over technical innovations and translational research in AI for Healthcare. The current research topics include multi-modal medical data analysis, multi-modal foundation models, and agentic AI, aiming to develop a series of advanced automatic models and tools facilitating public healthcare applications, large-scale clinical research, and novel knowledge discovery.
Recent News
Featured Publications
Recent Publications
(2025). Independent Evaluation of RETFound Foundation Model's Performance on Optic Nerve Analysis Using Fundus Photography. OPHTHALMOLOGY SCIENCE.
(2025). Revealing the Impact of Pre-training Data on Medical Foundation Models.
(2025). Retinal Microvascular Biomarker Assessment With Automated Algorithm and Semiautomated Software in the Montrachet Dataset. Translational Vision Science and Technology.
(2025). How Generalizable Are Foundation Models When Applied to Different Demographic Groups and Settings?. NEJM AI.