Gregory Valiant

Assistant Professor, Stanford University

Greg Valiant joined the Computer Science Department at Stanford as an Assistant Professor in Fall 2013, after completing a postdoc at Microsoft Research, New England. His main research interests are in algorithms, learning, applied probability and statistics; he is also interested in game theory, and has enjoyed working on problems in database theory. Valiant graduated from Harvard with a BA in Math and an MS in Computer Science, and obtained his PhD in Computer Science from UC Berkeley in 2012.


Program Visits

Foundations of Machine Learning, Spring 2017, Visiting Scientist
Evolutionary Biology and the Theory of Computing, Spring 2014, Visiting Scientist