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 Equilibrium Characterization for Data Acquisition Games appeared at IJCAI in August!
Our paper The Gerrymandering Jumble: Map Projections Permute Districts’ Compactness Scores is on arXiv!