James Zou works on making machine learning more reliable, human-compatible and statistically rigorous, and he is especially interested in applications in human disease and health. Several of his algorithms are widely used in tech and biotech industries. Zou received a Ph.D from Harvard in 2014, and was a member of Microsoft Research, a Gates Scholar at Cambridge and a Simons fellow at UC Berkeley. He joined Stanford in 2016 and is excited to be a two-time Chan-Zuckerberg Investigator and the faculty director of the university-wide Stanford Data4Health hub. He is also a member of the Stanford AI Lab. His research is supported by the Sloan Fellowship, the NSF CAREER Award, and Google, Amazon and Adobe AI awards.