Summary
Lizhou Fan is a Vice-Chancellor Assistant Professor at The Chinese University of Hong Kong with seven years of research-focused experience at the intersection of psychiatry, AI, and information science. Trained in statistics (UCLA BS) and completing a PhD in Information at the University of Michigan, Lizhou has held research roles at Harvard Medical School, Mass General Brigham, and UCLA where they translated data science into clinical and behavioral insights. Their work bridges rigorous quantitative methods and applied AI for mental health, informed by postdoctoral and fellowship experience in premier medical research environments. Comfortable moving between academia and translational contexts, Lizhou combines methodological depth with a track record of collaborative, interdisciplinary projects. Notably, their profile reflects a rapid trajectory from data scientist and predoctoral researcher roles to an assistant professorship, signaling both strong research productivity and leadership potential. Based in Hong Kong, they continue to develop AI-driven tools and studies that aim to improve psychiatric care and understanding.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Information, Doctor of Philosophy - PhD, Information at University of Michigan
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at University of California, Los Angeles