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:
In collaboration with my colleague and friend, Prof. Eric Schwartz, and with the help of several talented students as part of the Michigan Data Science Team, we have contributed a great deal of statistical and data-oriented work towards recovery efforts in Flint's water crisis.
A handful of relevant news references:
- Michigan Allots $87 Million to Replace Flint’s Tainted Water Pipes - New York Times (March 2017)
- Researchers: Flint might need 29K water lines replaced Detroit News (December 2016)
- Number of homes that need new water pipes in Flint has doubled, study says MLive (December 2016)
- Data for city resilience: tackling the water crisis in Flint, MI Medium.com (October 2016)
- Study: Flint lead contamination goes beyond service pipes Detroit Free Press (September 2016)
- The Conversation: Understanding Flint's Remaining Water Crisis Risks Scientific American (September 2016)
- Google Is Helping Flint Prioritize Which Lead Pipes Need to Be Replaced Gizmodo (May 2016)
- Can data help in Flint? Google gives cash to help figure it out Chicago Tribune (May 2016)
- I am spending several months in winter and spring of 2017 visiting the Simons Foundation in Berkeley CA.
- In the Fall of 2016 I taught EECS 445: Machine Learning
- In Winter of 2016 I taught EECS 545: Graduate Machine Learning.
- NSF CAREER grant awarded in February 2015.
- Thanks to the NSF for recent award: RI: Small: When Algorithms Trade: Dynamics, Limits, and Economic Implications.