Zeju Li is an Associate Professor at Fudan University. Previously, he was a Post-Doctoral Researcher in FMRIB Analysis Group, University of Oxford and obtained PhD in Computing from BioMedIA Group, Imperial College London. He spent time in Institute of Computing Technology and Huawei Noah's Ark Lab (London). He got both his MSc and BSc from the Department of Electronic Engineering, Fudan University. Zeju Li’s research focuses on machine learning and its applications in medical image processing, with an emphasis on neuroimaging analysis and addressing clinical problems. He has published over 30 peer-reviewed publications, many of which have been published in top-tier journals and conferences including TMI and MICCAI. His work has garnered over 4,000 citations on Google Scholar. He has won championships in the Huawei AI Challenge and the MICCAI Challenge, and serves as an area chair for conferences such as MICCAI and MIDL.