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Machine learning | James Zou | Stanford

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Hi! I am an Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. I work on making machine learning more reliable, human-compatible and statistically rigorous, and am especially interested in applications in human disease and health. Several of our algorithms are widely used in tech and biotech industries. I 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. I joined Stanford in 2016 and am excited to be a two-time Chan-Zuckerberg Investigator and the faculty director of the university-wide Stanford Data4Health hub. I'm also a member of the Stanford AI Lab. My research is supported by the Sloan Fellowship, the NSF CAREER Award, and Google, Amazon and Adobe AI awards. Email: jamesz at stanford dot edu Office: Packard 369 8/25: The Virtual Lab is published in Nature. ​ 7/25: Thrilled that CollabLLM

--> Machine learning | James Zou | Stanford top of page TITLE Hi! I am an Associate Professor of Biomedical Data Science and, by courtesy, of CS and EE at Stanford. I lead the Stanford AI for Science Lab, with a particular interest in tackling challenges in human disease and health. Our algorithms have received FDA approval, are used by millions of developers, and were selected as The New York Times' Good Tech. I received my Ph.D. from Harvard in 2014 and have held positions at Microsoft Research, as a Gates Scholar at Cambridge, and as a Simons Fellow at UC Berkeley. I joined Stanford in 2016

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