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Panel
Mayee Chen · Alexander Ratner · Robert Nowak · Cody Coleman · Ramya Korlakai Vinayak

Mon Dec 05 07:05 PM -- 07:30 PM (PST) @
in Theory and Practice of Efficient and Accurate Dataset Construction »

Author Information

Mayee Chen (Stanford University)
Alexander Ratner (Stanford University)
Robert Nowak (University of Wisconsion-Madison)
Cody Coleman (Stanford University)

Cody is a computer science Ph.D. candidate at Stanford University, is advised by Professors Matei Zaharia and Peter Bailis and is supported by a National Science Foundation Fellowship. As a member of the Stanford DAWN Project, Cody’s research is focused on democratizing machine learning through tools and infrastructure that enable more than the most well-funded teams to create innovative and impactful systems; this includes reducing the cost of producing state-of-the-art models and creating novel abstractions that simplify machine learning development and deployment. Prior to joining Stanford, he completed his B.S. and M.Eng. in electrical engineering and computer science at the Massachusetts Institute of Technology.

Ramya Korlakai Vinayak (University of Wisconsin-Madison)

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