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

My research focuses on the intersection of machine learning and digital health. I work on fundamental learning algorithms for model robustness and generalization against data bias and distribution shifts (ICML'19, CVPR'20, NeurIPS'20, ICML'21, ECCV'22), and building AI-based frameworks that transform real-world health applications with novel modalities and solutions (Nature Medicine'22, Science Translational Medicine'22, UbiComp'20).

   /      /      /      /   yuzhe [at] mit [dot] edu   (drop me an email if you want to collaborate / work with me)


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

Selected Talks

Invited Lecture @ HESAV SwissNex

Long Oral Talk @ ICML 2021

Honors and Awards (Selected)

Professional Service



MIT Computer Science & Artificial Intelligence Lab
32-G928, 32 Vassar St., Cambridge, MA 02139
yuzhe [at] mit (dot) edu

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