Scholar
James Zou
Google Scholar ID: 23ZXZvEAAAAJ
Stanford University
Machine learning
computational biology
computational health
statistics
biotech
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
51,141
H-index
95
i10-index
313
Publications
20
Co-authors
0
Contact
CV
Open ↗
Twitter
Open ↗
Publications
122 items
Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing
2026
Cited
0
string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms
2026
Cited
0
Agentic AI-enabled discovery across large-scale sleep physiology
2026
Cited
0
AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents
2026
Cited
0
A vision foundation model for single-cell biology via spatial gene cartography
2026
Cited
0
The Agentic Garden of Forking Paths
2026
Cited
0
Real-Time Voice AI Hears but Does Not Listen
2026
Cited
0
Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think
2026
Cited
0
Load more
Resume (English only)
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
Co-authors
0 total
Co-authors: 0 (list not available)