Hi there, I'm Raf (pronunced like "raw fish" minus the "ish"). I am an Associate Professor in Computer Science at CU Boulder, and an affiliate faculty member in Applied Math.
My research lies at the interface of theoretical machine learning and economics, with a focus on designing loss functions and information elicitation mechanisms. I am also starting to work on game-theoretic probability and statistics.
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:
- Congrats to Anish, Dhamma, and Maneesha for graduating! Now at TBD, NCAR, and BC, respectively.
- Dave, Jens, and I co-organized the DIMACS 2024 Workshop on Forecasting: October 14 at Rutgers, co-located with ADT.
- Congrats to Maneesha for her Highlights Beyond EC talk on market making.
- In Fall 2024, Jessie will be starting as an Assistant Professor at Boston College! Check out her blog post on her job market experience.
- I got tenure. I'm profoundly grateful to my committee, students, colleagues, and letter writers.
- I was a member of the MSRI (SLMath) program, Mathematics and Computer Science of Market and Mechanism Design, for November 2023.
- I am honored to receive a 2022 Provost's Faculty Achievement Award, one of five given to junior faculty campus-wide.
- Bo and I were the local co-chairs of EC 2022, July 11-15 in Boulder