Serina Chang: Faculty Home Page

Biography

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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. Her research falls at the intersection of AI and human behavior, including modeling human behaviors with AI, improving human-AI interaction, and developing AI tools for societal decision-making, with a focus on public health.

Her work is recognized by the ACM SIGKDD Dissertation Award, KDD Best Paper Award, Google Research Scholar Award, NSF Graduate Research Fellowship, Meta PhD Fellowship, EECS Rising Stars, and Rising Stars in Data Science, 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.