Dr. James Zou, assistant professor, Biomedical Data Science at Stanford University School of Medicine, will give a talk entitled "Generative AI for science" on behalf of the Foundations of Data Science & AI community of practice on Thursday, Mar. 30, at 1:00 p.m.
The talk will be hybrid. Please let us know whether you plan to join us in 301 Pomerene Hall [Register for in-person] or attend remotely via Zoom [Register for Zoom link].
Abstract: Generative models can potentially expand researcher’s creativity while balancing complex tradeoffs. I will illustrate this with two applications of generative AI to design experimentally validated novel antibiotics and cancer clinical trials. Then I will discuss important open challenges of generative AI relating to bias, compositional reasoning, and human steerability.
Bio: James Zou is an assistant professor of Biomedical Data Science, CS and EE at Stanford University. He develops machine learning methods for biology and medicine. He works on both improving the foundations of ML–-by making models more trustworthy and reliable–-as well as in-depth scientific and clinical applications. He has received a Sloan Fellowship, an NSF CAREER Award, two Chan-Zuckerberg Investigator Awards, a Top Ten Clinical Achievement Award, several best paper awards, and faculty awards from Google, Amazon, Tencent and Adobe.