I will join UCLA in 2025 as an Assistant Professor, joint between Computational Medicine and Computer Science!
I'm looking for technically strong and self-motivated students to join my lab. For PhD students (application due Dec 2024), please apply to UCLA CS and/or CompMed PhD programs, and mention my name in your application (you are welcome to shoot me an email early). For postdocs/interns, please reach out to me directly via email with your CV.
I completed my PhD in Computer Science at MIT, advised by Dina Katabi. Before MIT, I received my B.S. with honors from Peking University. My work has been recognized by PhD fellowships from Takeda, Baidu, and MathWorks, Rising Stars in AI (Yunfan Award), Rising Stars in Data Science, and Forbes 30 Under 30 in Healthcare & Science.
I research machine learning methods with applications in human disease, health and medicine.
- AI for Disease and Medicine: AI enabled discovery for complex human diseases (e.g., Parkinson's), from early diagnosis [Nature Medicine'22] to longitudinal progression [Science Trans. Medicine'22].
- Computational Health: AI approaches & systems for healthcare delivery (e.g., in-home sleep & vitals sensing [WACV'24, UbiComp'20]) and equity [Nature Medicine'24a, Nature Medicine'24b].
- Trustworthy Machine Learning: Principled algorithms for reliable ML in the wild, from unbiased learning [ICML'21 oral], representation learning [ICLR'23 oral], algorithmic fairness [ICML'23], to OOD generalization [ECCV'22].
