Stanford AI Fellow in AI & Medicine
Building agents & world models for programmable medicine
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My research sits at the intersection of AI for Science, agentic systems, and biomedicine, with publications in Cell, Science, and Nature.
I am advised by Qiang Gao (Fudan), Le Cong (Stanford), and Mengdi Wang (Princeton).
I believe in AI. I build agents & world models for the transition to programmable medicine.
| Project | Description |
|---|---|
| LabClaw π¦ | A skill library for autonomous biomedical research β 206 agentic skills spanning biology, pharma, medicine, data science, and literature search. |
| MedOS | AI-XR-Cobot World Model for clinical perception and action, bridging surgical intelligence with autonomous medical reasoning. |
| scMetabolism | R package for quantifying metabolism activity at the single-cell resolution (β 150+). Published in Cancer Discovery. |
- Cell (2024) β Neutrophil profiling illuminates anti-tumor antigen-presenting potency
- Science (2024) β A blueprint for tumor-infiltrating B cells across human cancers
- Nature (2025) β Amplifying antigen-induced cellular responses with proximity labelling
- Cancer Discovery (2022) β Spatiotemporal Immune Landscape of Colorectal Cancer Liver Metastasis at Single-Cell Level (ESI Top 0.1% Highly Cited)
- Cancer Discovery (2024) β Tumor-Host Cometabolism Collaborates to Shape Cancer Immunity
- MedOS (2026, medRxiv) β AI-XR-Cobot World Model for Clinical Perception and Action
π Full list on Google Scholar
"AI for Science, Science for Humanity."