Published multiple key papers in 2025 on medical foundation models, including:
“Revealing the Impact of Pre-training Data on Medical Foundation Models” (preprint and multi-author version)
“A foundation model for generalizable disease detection from retinal images” (2023)
“Independent Evaluation of RETFound Foundation Model's Performance on Optic Nerve Analysis Using Fundus Photography” in Ophthalmology Science
“How Generalizable Are Foundation Models When Applied to Different Demographic Groups and Settings?” in NEJM AI
Contributed to studies on automated retinal microvascular biomarker assessment published in Translational Vision Science and Technology
Background
Wellcome Early-Career Research Fellow (5-year fellowship) and Principal Investigator at University College London (UCL)
Specializes in artificial intelligence for healthcare
Research focuses on foundational methodological development and large-scale translational applications
Current research topics include multi-modal medical data analysis, multi-modal foundation models, and agentic AI
Aims to develop advanced automatic models and tools to facilitate public healthcare applications, large-scale clinical research, and novel knowledge discovery