|Jennifer Chayes is Associate Provost of Computing, Data Science, and Society, and Dean of the School of Information, at UC Berkeley, as well as Professor in four UC Berkeley departments and schools: Electrical Engineering and Computer Sciences, Information, Mathematics, and Statistics. For 23 years, she was at Microsoft Research where she was Technical Fellow and Managing Director of three interdisciplinary labs: Microsoft Research New England, New York City, and Montreal.
Chayes has received numerous awards for both leadership and scientific contributions, including the Anita Borg Institute Women of Vision Leadership Award, the John von Neumann Lecture Award of the Society for Industrial and Applied Mathematics (the highest honor of SIAM), the ACM Distinguished Service Award, and an honorary doctorate from Leiden University. Chayes is a member of the American Academy of Arts and Sciences and the National Academy of Sciences. She is a fellow of the American Association for the Advancement of Science, the American Mathematical Society, the Association of Computing Machinery, the Association of Women in Mathematics, and the Fields Institute.
Chayes’ 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. Chayes is deeply committed to increasing racial and gender diversity in STEM.