USA - 2020
For her impactful leadership, mentorship, and dedication to diversity in the course of a distinguished career of computer science research, and institution building
Professor Jennifer Chayes' service to the computing community is broad and sustained, encompassing: shaping the field through her work as a leader at both Microsoft Research and the University of California, Berkeley; service to many computing organizations; expanding the diversity of the computing field through mentorship of women, under-represented racial minorities and other disadvantaged groups; and her important research contributions. Professor Chayes's distinguished service includes creating, leading, and developing the Theory Group at Microsoft Research Redmond, and the Microsoft Research New England, New York City, and Montreal Labs. These labs have produced exceptional scholarly contributions to numerous fields, provided significant support to graduate student interns and postdocs, and supported individuals from communities under-represented in the field. The MSR labs that Professor Chayes founded have roughly three times the percentage of women compared to corporate labs, and an unusually high percentage of people of color and members of the LGBTQ community. She has mentored over a hundred women in computing and technology during her career. Professor Chayes continues to emphasize diversity as a core value in her position as Associate Provost of the Division of Computing, Data Science, and Society, and Dean of the School of Information at UC Berkeley.
Professor Chayes has an exceptionally strong record of service at the national and international levels to the computing community, including participation in advisory boards associated with the National Academy of Sciences, the National Research Council, American Association for the Advancement of Science, the Center for Minorities and People with Disabilities in IT (CMD-IT), the Simons Institute for Theoretical Computer Science, and many more. She has served on the Turing Award committee and the Heidelberg Laureate Selection Committee. She has served as an Associate Editor for many of the leading journals in statistical physics, computer science, mathematics, and data science, and has served as a co-organizer of numerous conferences across these fields.
USA - 2010
For contributions to the foundations of dynamic random networks in theoretical computer science.