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Jennifer Chayes is a distinguished professor and dean at the College of Computing, Data Science, and Society at the University of California, Berkeley. She has held significant roles at Microsoft, including being a Technical Fellow and founder of several interdisciplinary labs: Microsoft Research New England, New York City, and Montreal. With over 20 years of experience at Microsoft, Chayes has made substantial contributions to the field of computer science and has been recognized with numerous awards for her leadership and scientific work, including the Anita Borg Institute for Women and Technology Leadership Award and the John von Neumann Award from the Society for Industrial and Applied Mathematics. She is an esteemed member of the American Academy of Arts and Sciences and the National Academy of Sciences. Her research interests encompass phase transitions in computer science, the structural and dynamical properties of networks, and the modeling of graph algorithms. Additionally, Chayes has made significant advances in the application of machine learning, focusing on areas such as cancer immunotherapy, ethical decision-making, and climate change.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.