Rafael M. Frongillo
near big sur

I am an assistant professor of computer science at CU Boulder.
I am currently taking on students. If interested please apply.

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:

  • What is the computational power of regression?
  • How can we design better incentives for crowdsourcing?
  • Can we understand markets in terms of optimization algorithms?
  • How can we prove rigorous results in dynamics using computational topology?

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).