Yaron Singer
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I am an Associate Professor of Computer Science at Harvard University.

My most recent work has been focused on optimization from sampled data and noise-robust approximation and machine learning algorithms. More broadly my interests include machine learning, approximation algorithms, optimization, information networks, game theory, and mechanism design. For more information see my publications.

Before coming to Harvard I was a postdoc at Google Research, and slightly before that I was a graduate student at UC Berkeley where I was fortunate to be advised by Christos Papadimitriou.

My work is generously supported by an NSF CAREER Award, a Sloan Foundation Fellowship, Google Faculty Research Award, Facebook Faculty Award, NSF grant, DARPA, and a BSF grant. As a graduate student, I received the Microsoft Research fellowship and the Facebook fellowship.