Sarah Cannon

NSF Mathematical Sciences
Postdoctoral Research Fellow

Computer Science Division
University of California, Berkeley

I am an NSF Mathematical Sciences Postdoctoral Research Fellow at UC Berkeley, working with Alistair Sinclair. My research focuses on mathematical foundations of Markov chains for problems from discrete geometry, most recently with applications to statistical physics and distributed computing.

In 2018, I completed my Ph.D in Algorithms, Combinatorics, and Optimization at Georgia Tech, advised by Dana Randall and based in the School of Computer Science. My graduate studies were supported by an NSF Graduate Research Fellowship, a Simons Award for Graduate Students in Theoretical Computer Science, and a Clare Boothe Luce Outstanding Graduate Fellowship. I completed an M.Sc. in Mathematics and the Foundations of Computer Science at the University of Oxford in 2013 and a B.A. in Mathematics at Tufts University in 2012.