Speaker
James Zou, PhD
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering
Stanford University
Location
Countway Library, Lahey Room (5th Floor)
Abstract
There have been tremendous advances in generative AI such as ChatGPT and DALLE. Generative models can potentially expand researchers’ creativity while balancing complex tradeoffs. I will illustrate this with applications of generative AI to different stages of biomedical research through three examples. We will first discuss how to use generative AI to design and experimentally validate novel drugs. Then we will apply a similar generative approach to inform the design of clinical trials to make trials more efficient and inclusive. Finally, we will demonstrate how to build visual-language models to index complex biomedical data. Throughout, I will highlight some of the key open challenges with generative AI related to bias amplification and behavioral drift.
Bio
James Zou is an assistant professor of Biomedical Data Science, CS and EE at Stanford University. He is also the faculty director of Stanford AI4Health. 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. Many of his innovations are widely used in tech and biotech industries. 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.