Recipient of multiple awards including Elsevier-MedIA 1st Prize, Medical Image Analysis MICCAI Best Paper Award (2023), MICCAI Young Scientist Award (2025), IPMI Francois Erbsmann Prize runner-up (2023), Shanghai Natural Science Second Prize (2023), and Shanghai Information Society Excellent Achievement Award (2023). Published numerous high-impact papers such as 'BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability'.
Research Experience
Serves as a professor at the School of Data Science, Fudan University, and is involved in program committees for several international conferences.
Education
PhD from Centre for Medical Image Computing (now UCL Hawkes Institute) at University College London, supervised by Prof. D J Hawkes and S Ourselin.
Background
Professor and doctoral supervisor at the School of Data Science, Fudan University. Research interests include artificial intelligence, statistical learning, medical imaging, computer vision, biomedical & healthcare engineering, particularly on interpretable AI, Bayesian deep learning, generalizability, and uncertainty.