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Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Jennifer Chayes

Jennifer Chayes
Distinguished Scientist and Managing Director, Microsoft Research

Website | @jenniferchayes

Jennifer Tour Chayes is Distinguished Scientist and Managing Director of Microsoft Research New England in Cambridge, Massachusetts, which she co-founded in 2008, and Microsoft Research New York City, which she co-founded in 2012. Before joining Microsoft in 1997, Chayes was for many years professor of mathematics at UCLA. Chayes is the author of over 125 academic papers and holds over 30 patents. Her research areas include phase transitions in discrete mathematics and computer science, structural and dynamical properties of self-engineered networks, graph algorithms and algorithmic game theory.

Chayes received her B.A. in biology and physics at Wesleyan University, where she graduated first in her class, and her Ph.D. in mathematical physics at Princeton. She did her postdoctoral work in the mathematics and physics departments at Harvard and Cornell. She is the recipient of a National Science Foundation Postdoctoral Fellowship, a Sloan Fellowship, and the UCLA Distinguished Teaching Award. Chayes has been the recipient of many leadership awards including the Leadership Award of Women Entrepreneurs in Science and Technology, the Women Who Lead Award, and the Women of Leadership Vision Award of the Anita Borg Institute. She has twice been a member of the Institute for Advanced Study in Princeton. Chayes is a Fellow of the American Association for the Advancement of Science, the Fields Institute, the Association for Computing Machinery, and the American Mathematical Society, and an Elected Member of the American Academy of Arts and Sciences.


9:00am–5:00pm Tuesday, 09/29/2015
Hardcore Data Science
Location: 1 E10 / 1 E11
Ben Lorica (O'Reilly Media), Reza Zadeh (Matroid | Stanford), David Blei (Columbia University), Anima Anandkumar (UC Irvine), Hussein Mehanna (Facebook), Jennifer Chayes (Microsoft Research), Ben Recht (University of California, Berkeley), Tanzeem Choudhury (Cornell and HealthRhythms), Jenn Wortman Vaughan (Microsoft Research), Adam Marcus (B12), Stefanie Jegelka (M.I.T.), Mikhail Bilenko (Microsoft), Reynold Xin (Databricks)
Average rating: ****.
(4.00, 4 ratings)
All-Day: Strata's regular data science track has great talks with real-world experience from leading edge speakers. But we didn't just stop there—we added the Hardcore Data Science day to give you a chance to go even deeper. The Hardcore day will add new techniques and technologies to your data science toolbox, shared by leading data science practitioners from startups, industry, consulting... Read more.
11:30am–12:00pm Tuesday, 09/29/2015
Hardcore Data Science
Location: 1 E10/1 E11 Level: Advanced
Jennifer Chayes (Microsoft Research)
Average rating: ***..
(3.75, 4 ratings)
Here I show how to use the theory of graph limits, developed over the last decade, to give consistent estimators for machine learning of massive sparse networks, and moreover how to do this in a way that protects the privacy of individuals on the network. Read more.