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I am currently in my 2nd year of the PhD program in Computer Science and Engineering at the University of Michigan. I am advised by Michael Wellman in the Strategic Reasoning Group. Prior to graduate school, I attended the University of Massachusetts Amherst, obtaining degrees in Computer Science and Economics, with a minor in Chinese. While there, I completed my Commonwealth Honors College Thesis advised by Brendan O'Connor and Arindrajit Dube at the University of Massachusetts Amherst entitled State Unemployment Forecasting Using Google Trends Time Series.

My research lies at the intersection of computer science and economics. I model financial networks as multiagent systems and apply game-theoretic analysis to study strategic decisions agents in such networks face. My research attemps to answer questions such as how such agents should make their decisions and the impacts of strategic decision making on systemic risk.

Research Interests

Computational economics, Multiagent systems, Game theory, Applications of machine learning


Advanced Data Mining, Incentives and Strategic Behavior in Computational Systems, Design and Analysis of Algorithms, International Finance, Foundations of AI, Reinforcement Learning Theory, Advanced AI


Conference Publications

  1. Katherine Mayo and Michael P. Wellman. 2021. A Strategic Analysis of Portfolio Compression: Extended Abstract. In Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), Online, May 3-7, 2021, IFAAMAS, 2 pages.