My research interests lie in the interface of theoretical machine learning and economics (encompassing topics such as information elicitation, crowdsourcing, learning, and markets), though I also continue to enjoy working in dynamical systems. Currently on my mind:
This Spring I am teaching algorithms.
I was previously a postdoc at MSR-NYC and then at Harvard's CRCS with Yiling Chen and Yaron Singer in the EconCS group. In August 2013 I completed my Ph.D. in computer science theory at Berkeley, where I was advised by Christos Papadimitriou and funded by the NDSEG Fellowship.
I recently co-organized the ICML'15 Workshop on Crowdsourcing and Machine Learning (CrowdML).