ABOUT

Hi! I am an Assistant Professor at Columbia University, Department of Biomedical Informatics and a Visiting Faculty Researcher at Google Research. I am also affiliated with the Department of Computer Science and the Data Science Institute at Columbia. I focus on applying human-computer interaction (HCI), artificial intelligence (AI) methods for health applications.
I lead the SEA (Sense, Empower, and Augment) Lab. We aim to leverage everyday data and build better human-centered methods, devices, and systems to sense, empower, and augment human health and well-being.

Research Overview
I have potential openings for PhDs starting Fall 2027 (DBMI & CS). I always love to work with self-motivated undergraduates and graduate students on various research projects on human-AI interaction / AI for health & medical applications. See more details on our SEA Lab website, and shoot me an email if you are interested!
LATEST NEWS
- 2026/08: Thrilled to share that I serve as Co-PI on the newly funded NSF HCC Core project, Human-AI Teaming for Health Coaching, working with Dr. Mamykina to study human-AI collaboration in health coaching.
- 2026/07: Thrilled to share that I serve as Columbia Site PI and Co-Investigator on the newly funded NIH/NICHD R01 project, MindGuard: Early Prediction of Post-Concussion Mental Health Sequelae in Youth with a Multimodal AI System, working with project Drs. Yang, Zhang, and Wang.
- 2026/08: Excited to shared that our paper on how explainable AI impact general public and health experts is published on Nature Medicine!
- 2026/06: Excited to shared that our perspective on how to design longitudinal health agent is published on Nature Health! Pround of the leading author Blue Lin.
- 2026/04: Proud that three out of three submissions to ACM CHI 2026 from the SEA Lab are all accepted, with two winning Best Paper Honorable Mention awards! Check the papers on our SEA Lab website. Proud of lab members Millie, Ruishi, and Shiyu!
- 2026/01: Expanding research trajectory to bridge general well-being and clinical applications: Check out our recent work at ML4H/NeurIPS around integrating consumer wearable data and EHR for diagnosis prediction.
- 2025/11: Three papers (Mental-LLM, GLOBEM, Talk2Care) are features among the ACM IMWUT editor picks (five in total)!
- 2025/01: New chapter started at Columbia University DBMI! Check out the latest updates on our SEA Lab website.
Contact
xx2489 (at) columbia.edu
Department of Biomedical Informatics
Columbia University
622 W 168th St, PH20
New York, NY 10032













