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Serina Chang is an Assistant Professor at the University of California, Berkeley, jointly appointed in the Department of Electrical Engineering and Computer Sciences and the Computational Precision Health part of the Berkeley AI Research (BAIR) Lab. Her research is at the intersection of artificial intelligence and human behavior, focusing on modeling human behaviors through AI, improving human-AI interaction, and developing AI tools for societal decision-making with an emphasis on public health. Her work has garnered several accolades including the ACM SIGKDD Dissertation Award, KDD Paper Award, Google Research Scholar Award, NSF Graduate Research Fellowship, and the Meta PhD Fellowship. She has been recognized as one of the EECS Rising Stars and in the Rising Stars in Data Science, and her research has been featured in over 650 news outlets, including the New York Times and the Washington Post. More details on her recent papers and research interests can be found on her personal website.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.