Research

I am primarily interested in algebraic geometry-especially the enumerative geometry and connections to number theory-the mathematics of machine learning, and formal mathematics.

Publications

Papers

Research papers and preprints

  1. Journal article Nature

    Olympiad-level formal mathematical reasoning with reinforcement learning

    With Thomas Hubert, Rishi Mehta, Laurent Sartran, Miklós Z. Horváth, Goran Žužić, Eric Wieser, Aja Huang, Julian Schrittwieser, Yannick Schroecker, Hussain Masoom, Ottavia Bertolli, Tom Zahavy, Amol Mandhane, Jessica Yung, Iuliya Beloshapka, Borja Ibarz, Vivek Veeriah, Lei Yu, Oliver Nash, Salvatore Mercuri, Calle Sönne, Bhavik Mehta, Alex Davies, Daniel Zheng, Fabian Pedregosa, Yin Li, Ingrid von Glehn, Mark Rowland, Samuel Albanie, Ameya Velingker, Simon Schmitt, Edward Lockhart, Edward Hughes, Henryk Michalewski, Nicolas Sonnerat, Demis Hassabis, Pushmeet Kohli and David Silver .

    • Formal mathematics
    • AI theorem proving
    • Reinforcement learning
  2. Conference paper ICML 2026 · ICLR 2026 VerifAI-2 Workshop

    SorryDB: Can AI Provers Complete Real-World Lean Theorems?

    With Austin Letson, Leopoldo Sarra, Auguste Poiroux, Oliver Dressler, Dhyan Aranha, Frederick Pu, Aaron Hill, Miguel Corredera Hidalgo, Julian Berman, George Tsoukalas and Lenny Taelman .

    • Formal mathematics
    • AI theorem proving

Formalisation & collaboration

Projects

Formal Conjectures

An open and evolving benchmark for verified mathematical discovery.

AlphaProof

Formal mathematical reasoning work contributing to an AI system that reached silver-medal-level performance at the International Mathematical Olympiad.

Kummer–Dedekind theorem in Lean

Formalisation completed under the supervision of Damiano Testa and now included in mathlib.