I am an assistant professor of theoretical computer science at CU Boulder, and affiliate faculty in applied math.

My research is at the interface of theoretical machine learning and economics, encompassing topics such as information elicitation, crowdsourcing, and markets. I also work in dynamical systems.

I was previously a postdoc at MSR-NYC and then at Harvard's CRCS with Yiling Chen and Yaron Singer in the EconCS group. I completed my Ph.D. in theoretical computer science at Berkeley, advised by Christos Papadimitriou and funded by the NDSEG Fellowship.

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