I am a third-year PhD student in the CIS Department at the University of Pennsylvania, advised by Aaron Roth.
My research interests include game theory and mechanism design, learning theory, algorithmic fairness, and computational social science, which is to say I am interested in how stragegic agents, algorithmic processes, and social norms interact, both mathematically and in practice.
I’m also interested in gerrymandering, the intentional drawing of district lines to favor some electoral outcome, especially the mathematical and computational aspects of the related problems. I am extremely excited to be working with the Metric Geometry and Gerrymandering Group in Boston this summer at the Voting Rights Data Institute!
I am affiliated with the CS Theory Reserach Group, the Warren Center for Network & Data Sciences, and the Penn Research in Machine Learning (PRiML) group.
Before coming to Penn, I was an undergrad at Colby College in beautiful Waterville, Maine. I was a mathematics and economics double major with a computer science minor.
Our paper "Fair Algorithms for Learning in Allocation Problems" is now [on ArXiv](https://arxiv.org/abs/1808.10549)
My project on redistricting on the grid is now live! Check it out here:
A construction and analysis of drawing legislative districts on toy examples of grid graphs. Includes interactive elements to explore the effect of different districting plans and distributions of voters on two-party electoral outcomes.
August 5th, 2018
Our paper "Strategic Classification from Revealed Preferences" appeared at EC in June