Jennifer Chayes

Associate Provost, Dean and Professor, UC Berkeley

Jennifer Chayes is Associate Provost of the Division of Computing, Data Science, and Society, and Dean of the School of Information. She is a Professor of EECS, Mathematics, Statistics, and the School of Information. Before joining Berkeley, she was a Technical Fellow at Microsoft, where she led research programs for over 20 years and was founder and managing director of three interdisciplinary labs: Microsoft Research New England, New York City, and Montreal.

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.

Program Visits

Sublinear Algorithms, Summer 2024, Visiting Scientist
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022, Visiting Scientist and Program Organizer
Summer Cluster: Interpretable Machine Learning, Summer 2022, Visiting Scientist
Sublinear Algorithms