Max Simchowitz

Max Simchowitz 

Max Simchowitz
msimchow(AT)berkeley(DOT)edu
CV
Google Scholar profile

About Me

I am a fourth year PhD student in the EECS department at UC Berkeley, co-adivsed by Ben Recht and Michael Jordan. I am supported by an NSF GRFP grant and a Berkeley Fellowship. Previously, I recieved a BA in Mathematics at Princeton University, where I was fortunate enough to do research with Sanjeev Arora and David Blei (who taught at Princeton at the time).

My research interests are in machine learning, active learning, optimization and control. Currently, I'm interested in provable bounds for learning in time series, active learning and experiment design for learning and classification, and the connections between sequential inference and the average-case complexity of optimization problems.

Teaching

CS 189/289A, Introduction to Machine Learning, UC Berkeley Fall 2018 (TA).

EE227C, Convex Optimization and Approximation, UC Berkeley, Spring 2018 (TA). Link for course notes.