I am a Mathematics Researcher at The Innovation Game, working with domain experts to deploy TIG’s mathematical challenges. My role includes protocol design, ensuring robust incentives and system health.

I’m particularly interested in the evolutionary discovery of mathematical algorithms, re-energised by the results of AlphaEvolve, which led me to join the committee of the Institute for Algorithm Mining.

In academia, my research focused on real and stochastic analysis, especially the variational analysis of interacting particle systems via large deviation principles and gradient flow structures. I have supervised MSc theses on reinforcement learning for high-frequency trading and on optimal transport problems.

Outside of work I enjoy rock climbing, cycling, and board games.