Scholar
Jennifer Chayes
Google Scholar ID: YAHWbtkAAAAJ
Professor, UC Berkeley
Citations & Impact
Citations
9,635
H-index
43
i10-index
117
Publications
20
Co-authors
48
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Co-author of more than 150 scientific papers and co-inventor of 30 patents. Received numerous awards including the Anita Borg Institute Women of Vision Leadership Award, the SIAM John von Neumann Lecture Award, and the ACM Distinguished Service Award. Member of the American Academy of Arts and Sciences and the National Academy of Sciences. 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.
Research Experience
- Before joining UC Berkeley in 2020, worked at Microsoft Research for 23 years. Served as Technical Fellow and Managing Director of Microsoft Research New England (co-founded in 2008), Microsoft Research New York City (co-founded in 2012), and Microsoft Research Montreal (co-founded in 2017). Co-founded the Theory Group at Microsoft Research and was Research Area Manager for Mathematics, Theoretical Computer Science, and Cryptography.
Education
- Received a bachelor’s degree in biology and physics from Wesleyan University, graduating first in her class, and earned her Ph.D. in mathematical physics at Princeton. Completed postdoctoral work in mathematics and physics at Harvard and Cornell.
Background
- Associate Provost of the Division of Computing, Data Science, and Society and Dean of the School of Information at the University of California, Berkeley. She is also a Professor of Electrical Engineering and Computer Sciences, Mathematics, Statistics, and Information. Committed to increasing racial and gender diversity in STEM. Her research areas include phase transitions in computer science, structural and dynamical properties of networks (including graph algorithms), and applications of machine learning. She is one of the inventors of the field of graphons, which are widely used for the machine learning of large-scale networks.
Miscellany
- Member of numerous advisory boards and steering and oversight committees, including the UC Center for Data-Driven Insights and Innovation, the MIT Institute for Data, Systems, and Society and Schwarzman College of Computing, and the selection committee for the VinFuture Prize.
