Sam Hopkins

Home Publications

algorithms, theoretical machine learning, semidefinite programming, sum of squares optimization, convex hierarchies, bicycles. he/him.

I am a Miller fellow in the theory group at UC Berkeley, where I am hosted by Prasad Raghavendra and Luca Trevisan. Before that, I got my PhD at Cornell, advised by David Steurer.

In the 2021-2022 academic year I will join MIT as an Assistant Professor in the Department of Electrical Engineering and Computer Science.

If you are interested in working with me as a PhD student, please apply to MIT’s EECS PhD program!

CV (pdf) Google Scholar YouTube

Writings which are not papers, Videos

Advice on applying for fellowships.

Advice on PhD applications.

Blog posts I wrote on clustering and learning high-dimensional mixture models using the SoS method (originally appeared on Windows on Theory. pdf

Notes on tensor decomposition using the SoS method (originally notes for a guest lecture at Stanford). pdf

A short general-audience video about my research. youtube

Slides from a high-level introduction to SoS for cryptographers, from this workshop. slides (pptx)

Service

PC Member: RANDOM 2020, ITCS 2021, STOC 2022

Notes

Currently I am supported by a Simons Postdoctoral Fellowship Fellowship at UC Berkeley. In the past, I have received support from a Miller Postdoctoral Fellowship, a Microsoft PhD Fellowship, an NSF Graduate Research Fellowship, and a Cornell University Fellowship.

I am Samuel B. Hopkins. Maybe you are looking for Samuel Francis Hopkins?

Not Math

Where to eat in Berkeley or Ithaca

I like bikes.

Contact

6th Floor, Soda Hall
hopkins at berkeley.edu