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 excited by the AI-driven discovery of algorithms, a field given new momentum by results like AlphaEvolve. I am a founding committee member of the Institute for AI-driven Discovery of Algorithms, where I contribute to coordinating research, knowledge sharing, benchmarking, and community building in this emerging discipline.

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.