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

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

I am grateful to work with a group of amazing students. I am currently recruiting students as well.

Before coming to Boulder, I was a postdoc at Microsoft Research 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.

Some news:

  • Bo and I are the local ("local"?) co-chairs of COLT 2021!
  • Matt, Michal, and I organized the EC 2020 Mentoring Workshop
  • I am honored to hold the Roubos Engineering Endowed Fellowship
  • Congrats to Jessie on being awarded the NSF GRFP!

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