Jonah Sherman

Jonah Sherman studies convex optimization, graph algorithms, and network flow problems. He completed his PhD in Computer Science at UC Berkeley in 2017, advised by Umesh Vazirani. He holds a B.Sc. from Carnegie Mellon.

Program Visits

Summer Cluster: Challenges in Quantum Computation, Summer 2018, Visiting Graduate Student

Bridging Continuous and Discrete Optimization, Fall 2017, Visiting Postdoc