Who Am I?
I am currently an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan.
My research focus is Machine Learning, and I like discovering connections between Optimization, Statistics, and Economics. I finished my PhD at UC Berkeley with Peter Bartlett in 2011, and I was a Simons postdoctoral fellow with Michael Kearns for the following two years.
News and Links:
- My talk slides from ICML 2016 presentation: Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier
- A group of us here in Ann Arbor have been working on a data science project in support of the Flint Water Crisis. Working with the Michigan Data Science Team and colleague Eric Schwartz, we've put together some preliminary results. Mark Allison's team in UM Flint will eventually incorporate the results in a consumer-facing app. A big thanks to Google.org for the support!
- This semester I am teaching EECS 545: Graduate Machine Learning. The course materials are open source and available on github!
- NSF CAREER grant awarded in February 2015.
- Thanks to the NSF for recent award: RI: Small: When Algorithms Trade: Dynamics, Limits, and Economic Implications.