About
I received my PhD in Mathematics from the London School of Economics and Political Science (LSE) in 2025. My research focuses on developing quantitative methods in game theory, reinforcement learning, equilibrium enumeration, and algorithm design.
I currently work on experimentally approximating multi-agent game-theoretic settings using Policy Space Response Oracle (PSRO) methods and reinforcement learning algorithms. I have developed a machine learning framework for studying duopoly pricing games, including statistical data analysis of experimental results. I have also developed software for equilibrium enumeration and 3D visualization of 2×2×2 games.
At LSE, I have taught courses in coalition game theory, non-cooperative game theory, foundational computer science, and financial mathematics.