Jamie Tucker-Foltz, PhD
Assistant Professor of Operations, Yale School of Management; Assistant Professor of Computer Science
Jamie Tucker-Foltz is an Assistant Professor in Operations at SOM, with a secondary appointment in Computer Science. He is broadly interested in the design of fair political and economic institutions. He works on a range of topics in fair division, social choice, and algorithmic game theory, drawing on mathematical tools and methodologies from operations research, economics, and theoretical computer science. He is especially interested in algorithms for fair redistricting and gerrymandering detection. Jamie completed his PhD in computer science at Harvard University, advised by Ariel Procaccia. He also holds a master's degree in computer science from the University of Cambridge and a bachelor's degree in computer science and mathematics from Amherst College.
What do you do with Data Science?
One of my ongoing research focuses is fair political redistricting. Specifically, I am interested in developing baselines for fairness that take into account the unique political geography of the state being partitioned. This involves simultaneously analyzing census data, voting data from previous election(s), and geographic data, requiring complex algorithms that operate on large datasets. I also have interests in AI-enabled preference aggregation in online platforms, which presents challenges over how to elicit input from users and how to fairly use the resulting incomplete dataset of preferences. I have published multiple papers on these topics in top computer science conferences, which are available on my website: https://www.jamie.tuckerfoltz.com/publications.html