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Hi there, I'm Raf (pronunced r-ah-f). 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, with a focus on designing loss functions and information elicitation mechanisms. 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.

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