Serina Chang is an Assistant Professor at UC Berkeley, jointly appointed in EECS and Computational Precision Health and part of the Berkeley AI Research (BAIR) Lab and Center for Human-Compatible AI (CHAI). Her research lies at the intersection of AI and human behavior, including developing human-centered AI models, simulating and inferring human behaviors with AI, and modeling population behaviors to guide high-stakes public health and policy decisions. Her work is recognized by Forbes 30 under 30, the ACM SIGKDD Dissertation Award, Google Research Scholar Award, KDD Best Paper Award, EECS Rising Stars, and Rising Stars in Data Science, and has received coverage from over 650 news outlets, including The New York Times and The Washington Post. Previously, she completed her PhD in CS at Stanford University and a postdoc at Microsoft Research.