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James Zou is an Associate Professor in Biomedical Data Science and a courtesy faculty member in Computer Science and Electrical Engineering at Stanford University. He leads the Stanford AI Science Lab, focusing on tackling challenges in human diseases and health. His groundbreaking algorithms have received FDA approval and are extensively used by millions of developers. James received his Ph.D. from Harvard in 2014 and has held notable positions at Microsoft Research and as a Gates Scholar at Cambridge. Since joining Stanford in 2016, he has been a two-time Chan–Zuckerberg Investigator and serves as the faculty director of the Stanford Data Science Institute. He has been recognized with several prestigious awards, including the Overton Prize, Sloan Fellowship, and NSF CAREER Award. His research has significantly impacted the field, as evident by numerous paper awards and faculty accolades from leading technology companies such as Google, Amazon, and Genentech. James is committed to advancing the integration of AI in healthcare, furthering scientific understanding and public health outcomes.
Stanford University • Stanford, CA
Tenured faculty focused on advancing research in biomedical data science and artificial intelligence.
Microsoft Research •
Engaged in research focusing on machine learning technologies.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.