Resume
Academic Achievements
- Two-time Chan-Zuckerberg Investigator
- Recipient of the Sloan Fellowship
- Recipient of the NSF CAREER Award
- Awarded AI research grants from Google, Amazon, and Adobe
- Recipient of the Overton Prize (2025)
- Paper 'CollabLLM' won the ICML Outstanding Paper Award (6 out of >12K submissions)
- Published extensively in top journals including Nature, Nature Methods, Nature Communications, Science, Cell, NEJM AI, PNAS, and JMLR
- EchoNet AI received FDA clearance
- Published numerous papers at top conferences including ICML, NeurIPS, ICLR, and AISTATS
- Developed key tools/frameworks including TextGrad, InterPLM, TISSUE, SyntheMol, and 7-UP
Background
- Associate Professor of Biomedical Data Science at Stanford University, with courtesy appointments in Computer Science and Electrical Engineering
- Focuses on making machine learning more reliable, human-compatible, and statistically rigorous
- Especially interested in applications of ML in human disease and health
- Several of his team's algorithms are widely used in tech and biotech industries
- Member of the Stanford AI Lab
- Faculty director of the university-wide Stanford Data4Health hub