Hello! I am currently a PhD Candidate in Computer Science & Engineering at the University of Michigan. I am advised by Michael Wellman as a member of the Strategic Reasoning Group. My research lies at the intersection of computer science and economics, drawing on work in multiagent systems and game theory. Through the use of empirical game-theoretic analysis, I study how agents in financial payment networks make their decisions and the subsequent impacts of those decisions on the network. I am particularly interested in strategic interactions in the areas of debt cancellation, real-time (fast) payments decisions, and financial fraud scenarios.
Prior to graduate school, I attended the University of Massachusetts Amherst from which I obtained degrees in Computer Science and Economics, as well as a minor in Chinese. While at UMass, I completed my Commonwealth Honors College Thesis advised by Brendan O'Connor and Arindrajit Dube, State Unemployment Forecasting Using Google Trends Time Series.
During the Fall 2022 semester, I will be teaching EECS 110: Discover CS. This course serves as a basic introduction for those with little to no prior experience with Computer Science.
Computational economics, Multiagent systems, Game theory, Applications of machine learning
- Katherine Mayo and Michael P. Wellman. 2021. A Strategic Analysis of Portfolio Compression. In ICAIF '21: 2nd ACM International Conference on AI in Finance, November 2021 . [paper][slides]
- Previous version presented as poster at AAMAS 2021: [poster]
Advanced Data Mining, Algorithmic Game Theory, International Finance, Reinforcement Learning Theory, Advanced AI