I’m broadly interested in theoretical computer science, artificial intelligence and mathematical economics. Most recently, graph theory, algorithmic game theory, statistical learning and their various intersections.
I also think about how tools and techniques from TCS, AI and economic design can yield insights about important societal problems.
Before Berkeley, I graduated from Oberlin College with a BA in Mathematics and Computer Science, and I’m extremely grateful for the mentorship of Adam Eck and Sam Taggart during my undergraduate years.
EAAMODisincentivizing Filter Bubbles in Social NetworksIn ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2023
AAAIAn Algorithmic Introduction to Savings CirclesIn Proceedings of the AAAI Conference on Artificial Intelligence, 2022