Working freelance in AI research and, occasionally, contemporary dance. Currently focusing on multi-agent learning / game theory / optimisation / RL, but I’m generally interested in theoretical underpinnings of ML and aiming to go beyond curve-fitting towards abstraction & reasoning. Sidekicks: quantum computing, diagrammatic reasoning, number theory, and all things mathematical. 🤓
My background is in mathematics and theoretical CS, with a bachelor thesis in algebraic number theory and a master thesis on differentiable games (with applications to GANs & multi-agent RL). Here are a few papers I was lucky to publish with brilliant collaborators since then!