CCB Colloquium: James Zou

Date & Time

Guest Presenter:
James Zou, Ph.D.
Assistant Professor, Biomedical and Data Science
Stanford University

Title: Computer vision to phenotype human diseases across physiological and molecular scales.

Abstract: I will present new computer vision algorithms to learn complex morphologies and phenotypes that are important for human diseases. I will illustrate this approach with examples that capture physical scales from macro to micro: 1) video-based AI to assess heart function (Ouyang et al Nature 2020), 2) generating spatial transcriptomics from histology images (He et al Nature BME 2020), 3) and learning morphodynamics of immune cells. Throughout the talk, I’ll illustrate new design principles/tools for human-compatible and robust AI that we developed to enable these technologies (Ghorbani et al. ICML 2020, Abid et al. Nature MI 2020).

About the Speaker

James Zou is an assistant professor of biomedical data science, CS, and EE at Stanford University. He is also a Chan-Zuckerberg investigator. James develops novel machine learning algorithms to study human health and diseases. He is also interested in making ML more reliable, accountable, and human-compatible. Several of his methods are used by tech, biotech, and pharma companies. He also works on questions important for the broader impacts of AI—fairness, accountability, interpretations, and robustness. He has received several best paper awards at top CS venues, the 2019 RECOMB best paper award, the NSF CAREER Award, the Google Faculty Award, the Tencent AI award, and the Sloan Fellowship.

Advancing Research in Basic Science and MathematicsSubscribe to Flatiron Institute announcements and other foundation updates