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:
- This semester I am teaching EECS 545: Graduate Machine Learning. The course materials are open source and available on github!
- Check out my recent project, the Michigan Data Science Team, organized with the help of PhD student Jonathan Stroud. The team is off to a great start!
- In the Fall of 2015 I taught Theoretical Foundations of Machine Learning in the Fall of 2015. This course had about 45% overlap with a course I taught in the Fall of 2013.
- I enjoyed giving several lectures on data science at the Big Data Undergraduate Summer Institute here at UM this past summer (2015).
- NSF CAREER grant awarded in February 2015.
- Come check out NIPS 2014 Workshop on Transactional Machine Learning and E-Commerce, co-organized by Amos Storkey, I, and Mark Reid.
- Thanks to the NSF for recent award: RI: Small: When Algorithms Trade: Dynamics, Limits, and Economic Implications.