Gregory Valiant

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I am an Assistant Professor in Stanford's Computer Science Department, working at the intersection of Algorithms, Machine Learning, Statistics, and Information Theory. One of the main themes in my work is the design of efficient algorithms for accurately inferring information about complex distributions, given limited amounts of data, or limits on other resources such as the computation time, available memory or communication, or the quality of the available date. Prior to joining Stanford, I was a postdoc at Microsoft Research, New England, and received my PhD from Berkeley in Computer Science, and BA in Math from Harvard.

My office is 470 Gates.

I am extremely lucky to advise the following PhD students:
Melody Guan, Shivam Garg, Brian Axelrod (coadvised with Omer Reingold), Annie Marsden (coadvised with John Duchi), Neha Gupta (coadvised with Moses Charikar), Kai Sheng Tai (coadvised with Peter Bailis), Jay Mardia (coadvised with Tsachy Weissman), Mingda Qiao

Former PhD students:
Vatsal Sharan, PhD 2020
Weihao Kong , PhD 2019
Hongyang Zhang (coadvised with Ashish Goel), PhD 2019