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Hi there! I am a final-year Ph.D. student at Computer Science & Artificial Intelligence Laboratory (CSAIL) at MIT, advised by Prof. Dina Katabi. I also work closely with Prof. Marzyeh Ghassemi (MIT) and Prof. Shwetak Patel (UW). Before joining MIT, I received my B.S. with honors from Peking University. My research is supported by Takeda PhD Fellowship (2023), Baidu PhD Scholarship (2022), and MathWorks PhD Fellowship (2021 & 2022).

My research lies in the intersection of machine learning and applications in human disease, health and medicine.

  • AI for Disease and Medicine: I work on using AI to enable discovery of digital biomarkers for complex human diseases, from early diagnosis [Nature Medicine'22] to longitudinal progression tracking [Science Trans. Medicine'22].
  • Intelligent & Accessible Health Sensing: I build AI systems for healthcare delivery beyond clinics, e.g., in-home health & disease monitoring [UbiComp'20, Front. Psychiatry'21], camera-based contactless vitals sensing [ICLR'23 oral].
  • Trustworthy & Equitable ML: I develop reliable ML algorithms that are deployable in high-stakes applications, focusing on fairness [ICML'21 oral, ICML'23] and generalization [NeurIPS'20, ECCV'22] across diverse populations and real shifts.

I am on the 2023-2024 academic job market. Please feel free to reach out if you have potential positions.


Publications   ( show selected / show by date / show by topic )
Research Topics:  AI for Disease and Medicine  /  Smart Health Sensing with AI  /  Fair, Equitable & Trustworthy ML
(* indicates equal contribution)

Recent Talks

Invited Lecture @ HESAV SwissNex
Oral Presentation @ ICLR 2023

Honors and Awards

Professional Service



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