NeurIPS 2026 · Oral at the GenAI4Health Workshop
01About
I am a second-year Computer Science PhD student at UCLA, working with Prof. Yuzhe Yang in the Health Intelligence Lab (HAIL). Before UCLA, I completed my M.S. in Machine Learning at Carnegie Mellon University, where I worked with Prof. Ameet Talwalkar and Prof. Mikhail Khodak in the Sage Lab. Earlier, I earned my B.S. in Computer Science and Mathematics (summa cum laude) at Washington University in St. Louis, where I did clinical research with Dr. Peinan Zhao at the OBGYN department of the WashU School of Medicine.
Outside of academia, I spent time at Datadog as a Data Scientist Intern contributing to TOTO, a time-series foundation model for observability data.
I am glad to announce that I have been selected as an Amazon Fellow 2026.
02What I Work On
I build machine learning systems for health, with a current focus on physiological and wearable biosignals such as polysomnography and motion data. A person's health is only partially captured by any single measurement, and I am interested in models that can learn useful, transferable representations from these noisy, multimodal, and often incomplete observations. My current directions include:
- Foundation models for biosignals & wearable health data — pre-training and scaling recipes for sleep, motion, and other wearable signals.
- Multimodal learning & language interfaces for health — connecting raw physiology with natural language so models can describe, retrieve, and reason about health.
- Sleep and physiological signal understanding — models that stay useful, interpretable, and transferable across clinical and at-home settings.
More broadly, I care about designing models whose architectures and objectives are tailored to the structure of real measurements. I am always happy to chat about collaborations in these areas.
03News
- Oct. 2026Honored to be selected as an Amazon Fellow 2026.
- Sep. 2026Inertia-1 is selected for an oral presentation at the GenAI4Health workshop at NeurIPS 2026!
- Sep. 2026Inertia-1: An Open Exploration of Wearable Motion Foundation Models is accepted at NeurIPS 2026!
- Jul. 2026Inertia-1 is on arXiv, with code and a project page.
- Apr. 2026SleepLM is accepted at ICML 2026 as a Spotlight! OSF is also accepted at ICML 2026.
- Apr. 2026Homepage is up! Always looking for collaborations in AI for health.
- Feb. 2026SleepLM: Natural-Language Intelligence for Human Sleep and OSF: On Pre-training and Scaling of Sleep Foundation Models are on arXiv!
- Sep. 2025Our work on time-series foundation models, This Time is Different: An Observability Perspective on Time Series Foundation Models, is accepted at NeurIPS 2025!
- Aug. 2025Started my PhD at UCLA in the HAIL Lab with Prof. Yuzhe Yang!
- Jan. 2025Joined Datadog as a Data Scientist Intern working on TOTO.
- Jan. 2025Specialized Foundation Models Struggle to Beat Supervised Baselines is accepted at ICLR 2025!
- Jan. 2025V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception is accepted at ICRA 2025!
- Dec. 2024Graduated from CMU with an M.S. in Machine Learning.
04Publications
A few recent works I am most excited about. See my Google Scholar for the complete list. (* indicates equal contribution.)
05Honors & Awards
- 2026 Amazon Fellow 2026, Amazon & UCLA Science Hub for Humanity and AI
- 2026 Spotlight, ICML 2026 (SleepLM)
- 2026 Oral Presentation, GenAI4Health Workshop at NeurIPS 2026 (Inertia-1)
- 2019–2023 Dean Select Fellowship and summa cum laude, Washington University in St. Louis
06Education
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Aug. 2025 – Present
Ph.D. in Computer Science
University of California, Los Angeles -
Aug. 2023 – Dec. 2024
M.S. in Machine Learning
Carnegie Mellon University -
Sep. 2019 – May 2023
B.S. in Computer Science & Mathematics
Washington University in St. Louis (summa cum laude, minors in Bioinformatics and Biology)
07Teaching
- Sep. 2021 – Jun. 2022 Teaching Assistant, CSE 412 Introduction to Artificial Intelligence, Washington University in St. Louis
- Sep. 2021 – Jun. 2022 Teaching Assistant, CSE 417 Machine Learning Theory, Washington University in St. Louis
08A Few Things About Me
Away from the keyboard, I have been falling deep into bouldering and climbing, and I am steadily working my way into more hiking and skiing. Long before I picked up a lab notebook, I played competitive badminton — I hold a National Second-Class Athlete certification in China. If you want to talk research, share a climbing gym recommendation, or rally a few points, drop me a line.