Serina Chang

Serina Chang is joining UC Berkeley in July 2025 as an Assistant Professor, with a joint appointment in EECS and Computational Precision Health. Previously, she completed her Ph.D. in Computer Science at Stanford University. She is currently doing a postdoc at Microsoft Research NYC in the Computational Social Science group.

Her research falls at the intersection of AI, public health, and social science. Specifically, she 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 been featured by over 650 news outlets, including The New York Times and The Washington Post.

See her personal website for details on recent papers and research interests.