I am a first 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 current interests are in machine learning and optimization. I've worked on first-order methods for non-convex optimization problems (Dictionary Learning, Matrix Sensing, etc.) and Active Learning, and lately I'm thinking about problems ranging from controls to understanding average-case complexity for various optimization problems. Outside of work, I love all things music, and play the tenor saxophone.
http://www.eecs.berkeley.edu/~msimchow/index.html
msimchow@berkeley.edu