Summary
James Zou is a Stanford associate professor and Faculty Director of AI for Health who develops trustworthy, reliable machine learning methods applied to biomedical and clinical problems. He leads a 15-person research group and runs a cross-department program that forges industry partnerships across biotech, pharma, insurance, and wellness. His work spans foundational ML—focused on robustness and reliability—and translational projects whose innovations are adopted by tech and biotech companies. A recipient of a Sloan Fellowship, NSF CAREER, two Chan Zuckerberg Investigator awards and multiple industry faculty awards, he combines rigorous theory with real-world impact. Trained at Harvard, Cambridge and Berkeley, he brings a rare mix of deep math background and practical genomics experience from Microsoft Research.
9 years of coding experience
2 years of employment as a software developer
Simons Research Fellow, Simons Research Fellow at University of California, Berkeley
Part III in Mathematics, Part III in Mathematics at University of Cambridge
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Harvard University