Research

My research revolves around the question of how groups of agents can learn to coordinate individual decisions to achieve collective goals. We use game theory, simulations and AI to study these problems across several areas:

• 🤖 AI & Multi-agent Systems — Game theory provides a natural framework for understanding and designing AI agents that must coordinate, compete, or cooperate with others. We use evolutionary game theory and reinforcement learning to study how cooperation can emerge in decentralised multi-agent systems.

• 🏙️ Social Dynamics — Human societies face collective action problems everywhere. We use game theory and simulations to understand how cooperation and social norms emerge and break down.

• 🎲 Game Theory — We work on foundational questions in evolutionary game theory — how strategies evolve in repeated interactions, what role can learning play in equilibrium selection, and how to use computation and AI to answer questions relevant to strategic interaction and decision making.

• 🔬 Science of Science — Scientific institutions — journals, peer review, public communication — are themselves strategic systems. We apply game theory to understand how incentives shape the quality of science and its public understanding.

See selected papers in each area.