Hi there! I am a fifth-year Ph.D. student at Computer Science & Artificial Intelligence Laboratory (CSAIL) at MIT, advised by Prof. Dina Katabi. Before coming to MIT, I received my B.S. with honors from Peking University.

My research lies in the intersection of machine learning and applications in human disease, health and medicine. I work on trustworthy ML for model fairness (NeurIPS'20, ICML'21), robustness (ICML'19, CVPR'20), generalization (ECCV'22, ICLR'23), and translate these AI solutions to study and advance human diseases (Nature Medicine'22, Science Translational Medicine'22), health (UbiComp'20) and precision medicine (Frontiers in Psychiatry'21).

   /      /      /      /   yuzhe [at] mit [dot] edu


Publications (show selected / show by date / show by topic)
Research Topics:  AI-Enabled Digital Health  /  Fair, Robust & Generalizable ML  /  Data & Label Efficient ML

Recent Talks

Invited Lecture @ HESAV SwissNex

Long Oral Talk @ ICML 2021

Honors and Awards

Professional Service


© Massachusetts Institute of Technology 2023  •  Accessibility