加州大学伯克利分校电气工程与计算机科学系导师教师师资介绍简介-Jennifer Chayes

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Jennifer Chayes

Professor

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Research Areas

Information, Data, Network, and Communication Sciences (IDNCS)
Theory (THY)
Biosystems & Computational Biology (BIO)

Research Centers

Berkeley Institute for Data Science (BIDS)
Simons Institute for the Theory of Computing (SITC)


Biography

Jennifer Chayes is Associate Provost of the Division of Computing, Data Science, and Society, and Dean of the School of Information. She is Professor of EECS, Mathematics, Statistics, and the School of Information. Before joining Berkeley, she was at Microsoft for over 20 years, where she was Technical Fellow, and founder 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 Award of the Society for Industrial and Applied Mathematics, and an honorary doctorate from Leiden University. She is a member of the American Academy of Arts and Sciences and the National Academy of Sciences.Chayes’ research areas include phase transitions in computer science, and structural and dynamical properties of networks including modeling and graph algorithms. 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 both theory and applications in cancer immunotherapy, ethical decision making, and climate change.

Education

1983, PhD, Mathematical Physics, Princeton University

Awards, Memberships and Fellowships

National Academy of Sciences (NAS) Member, 2019
SIAM John von Neumann Lecture Prize, 2015
American Academy of Arts and Sciences Member, 2014
American Mathematical Society (AMS) Fellow, 2013
Sloan Research Fellow, 1989


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