Research

I am interested in the strategic interactions of intelligent agents, how collective intelligence develops, and the application of game theory and mechanism design to the study of multiagent system safety. My previous work included a theoretical analysis of bounded rationality in repeated games and mechanism design for agents with computational limitations.

In 2025, I spent my sabbatical working with the Collaborative Intelligent Systems group at the Basis Research Institute. Our paper on inferring the strategies birds use in group foraging environments was presented at the NeurIPS 2025 Workshop on Data on the Brain and Mind. This research included using graph neural networks to predict the trajectories of agents from real and simulated data.

I am also interested in sequence learning using neural networks, an interest I haven't been able to shake since completing a master's thesis on recurrent neural networks.

Publications

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