Department of Computer and Information Science,
University of Pennsylvania
My main research interests include game theory, learning theory, algorithmic fairness, and computational social science. I like to think about how stragegic agents, algorithmic processes, and social norms come together and interact, both mathematically and practically.
I’m also interested in gerrymandering, especially the mathematical and computational aspects of the related problems. I am a research associate with the Metric Geometry and Gerrymandering Group at MIT and Tufts and was on the faculty for their 2019 Voting Rights Data Institute summer program.
Our paper Geometry of Graph Partitions via Optimal Transport is on the arXiv!
Our paper The Gerrymandering Jumble: Map Projections Permute Districts’ Compactness Scores is on the arXiv!