Jennifer Chayes

À propos

Jennifer Chayes is Associate Provost of Computing, Data Science, and Society at UC Berkeley (opens in new tab), as well as a professor in four UC Berkeley departments.

She was at Microsoft Research (MSR) for 23 years, where she co-founded and led three interdisciplinary labs: Microsoft Research New England (opens in new tab), New York City (opens in new tab), and Montreal (opens in new tab). She has received numerous awards for both leadership and scientific contributions, including the Anita Borg Institute Women of Vision Leadership Award (opens in new tab), the John von Neumann Lecture Award (opens in new tab) of the Society for Industrial and Applied Mathematics (opens in new tab) (the highest honor of SIAM), election to the American Academy of Arts and Sciences (opens in new tab) and the National Academy of Sciences (opens in new tab), and an honorary doctorate from Leiden University (opens in new tab). Her research areas include phase transitions in computer science, structural and dynamical properties of networks including graph algorithms, and applications of machine learning. Chayes is one of the inventors of the field of graphons, which are widely used for the machine learning of large-scale networks. Her recent work focuses on machine learning, including applications in cancer immunotherapy, ethical decision making, and climate change.