Sam Hopkins

Assistant Professor, MIT

Sam Hopkins studies algorithms and computational complexity, especially for problems arising in high-dimensional statistics, and through the lens of convex optimization. He received a BS in mathematics and computer science from the University of Washington and a PhD in computer science from Cornell University, and held a Miller Postdoctoral Fellowship at UC Berkeley. In academic year 2021-2022 he will join MIT as an Assistant Professor of computer science.

Program Visits

Computational Complexity of Statistical Inference, Fall 2021, Microsoft Research Fellow
Foundations of Data Science, Fall 2018, Visiting Postdoc
Algorithmic Spectral Graph Theory, Fall 2014, Visiting Graduate Student