Serina Chang

关于

Serina Chang is a Postdoctoral Researcher at Microsoft Research in New York City (opens in new tab). She will be joining UC Berkeley in July 2025 as an Assistant Professor in EECS and Computational Precision Health. Previously, she completed her PhD in CS at Stanford University, advised by Jure Leskovec and Johan Ugander. Her research develops AI and graph methods to study human behavior, improve public health, and guide data-driven policymaking. Her work is recognized by a KDD Best Paper Award, NSF Graduate Research Fellowship, Meta PhD Fellowship, EECS Rising Stars, Rising Stars in Data Science, and Cornell Future Faculty Symposium, and has received coverage from over 650 news outlets. See her website (opens in new tab) to learn more!