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Jennifer Tour Chayes
Jennifer Tour Chayes (born September 20, 1956) is Managing Director and Distinguished Scientist at Microsoft Research New England in Cambridge, Massachusetts, which she founded in 2008, and Microsoft Research New York City, which she founded in 2012. Chayes has been with Microsoft Research since 1997, when she co-founded the Theory Group.〔(2012 Women to Watch: Jennifer Chayes ), Massachusetts High Tech. By Scott Pickering. 20 April 2012. Retrieved 6 May 2012.〕 She received her Ph.D. in mathematical physics at Princeton University. She is Affiliate Professor of Mathematics and Physics at the University of Washington, and was for many years Professor of Mathematics at UCLA.
==Education and work==
Chayes was born in New York City〔 and grew up in White Plains, N.Y., the child of Iranian immigrants. She received her B.A. in Biology and Physics from Wesleyan University in 1979 where she graduated first in her class. She received her Ph.D. in Mathematical Physics at Princeton University. She did her postdoctoral work in the Mathematics and Physics departments at Harvard and Cornell. She moved to UCLA as a tenured Professor of Mathematics in 1987.
Chayes was married to Christian Borgs in 1993, and to Lincoln Chayes previously. She has had extremely successful collaborations with both her husbands; of her 94 papers in MathSciNet (as of February 2014), 51 are coauthored with Christian Borgs and 37 are coauthored with Lincoln Chayes. Chayes and Borgs started the Theory Group at Microsoft Research Redmond in 1997. The Theory Group analyzes fundamental questions in theoretical computer science using techniques from statistical physics and discrete mathematics. Chayes is currently Managing Director of Microsoft Research New England which she co-founded in 2008, and Microsoft Research New York City, which she co-founded in 2012. Chayes is best known for her work on phase transitions, and on models and properties of networks. Her research areas include phase transitions in discrete mathematics and computer science, structural and dynamical properties of self-engineered networks, and algorithmic game theory. She is considered one of the world's experts in the modeling and analysis of dynamically growing graphs. Applications include the Internet, the Web, biological networks, and social networks. She has contributed the development of methods to analyze the structure and behavior of various networks, the design of auction algorithms, and the design and analysis of various business models for the online world. She is the co-author of almost 120 scientific papers and the co-inventor of more than 25 patents.
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