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

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Research Topics:  AI-Enabled Digital Health  /  Robust & Generalizable ML  /  Data & Label Efficient ML


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


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