Dr. James Zou is an Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. He works on making AI more reliable, human-compatible and statistically rigorous, and is especially interested in applications in human disease and health.
Dr. Zou received his Ph.D from Harvard in 2014, and was at one time a member of Microsoft Research, a Gates Scholar at Cambridge and a Simons fellow at U.C. Berkeley. He joined Stanford in 2016 and is excited to also be a Chan-Zuckerberg Investigator. Dr. Zou's group is also a part of the Stanford AI Lab. His research is supported by two Chan-Zuckerberg Biohub Investigator Awards, the Sloan Fellowship, the NSF CAREER Award, a Top Ten Clinical Achievement Award and faculty awards from Google, Adobe and Amazon.
Dr. Zou's group works on both foundations of statistical machine learning (ML) and applications in biomedicine and healthcare. They develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
They want their ML to be impactful and beneficial, and as such, they are deeply motivated by transformative applications in biotech and health. They collaborate with and advise many academic and industry groups.
