PeopleofSuperintelligence

Researcher

Thomas Hubert

Thomas Hubert is a researcher at Google DeepMind, where his work spans game-playing AI and mathematical reasoning. Trained as an engineer at École Centrale Paris, he later completed a master's in financial mathematics at Stanford University. He co-authored AlphaGo Zero, which Nature published in October 2017, and worked on the AlphaZero project, whose chess and shogi paper went to arXiv in December 2017. MuZero, a system that plans with a learned model, and AlphaTensor, a system for faster matrix multiplication, are two more systems he helped build. He led AlphaProof's development with Rishi Mehta and Laurent Sartran, and the system solved three of five non-geometry problems at the 2024 International Mathematical Olympiad.

Works
16
Citations
15,676
h-index
11

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2009–2010

    Engineering and finance training

    In 2009 he earns an engineering diploma from École Centrale Paris, and he finishes a master's in financial mathematics at Stanford University in 2010.

  2. 2017

    AlphaGo Zero starting from scratch

    Nature publishes the AlphaGo Zero paper, 'Mastering the game of Go without human knowledge,' in October 2017, and he co-authors it.

  3. December 2017

    AlphaZero for chess and shogi

    The chess and shogi paper on AlphaZero is submitted to arXiv in December 2017, and he is involved in the AlphaZero project.

  4. 2020

    MuZero plans with a learned model

    MuZero, a system that plans with a learned model, is published in Nature in December 2020, and he co-authors it.

  5. 2022

    AlphaTensor for matrix multiplication

    He contributes to AlphaTensor, a system for faster matrix multiplication, and Nature publishes its paper in October 2022.

  6. 2024

    AlphaProof reaches silver-medal standard

    He leads AlphaProof's development with Rishi Mehta and Laurent Sartran, and the system solves three of five non-geometry problems at the 2024 International Mathematical Olympiad.

  7. November 2025

    AlphaProof in Nature

    The AlphaProof paper appears in Nature in November 2025, and he is one of its authors.

  8. As of October 2026

    Researcher at Google DeepMind

    A researcher at Google DeepMind, he focuses on reinforcement learning, search and planning.

Sources and credits

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  1. Thomas Hubert - Chess Programming Wiki chessprogramming.org. Checked 15 October 2026.
  2. Mastering the game of Go without human knowledge | Nature nature.com. Checked 15 October 2026.
  3. AlphaGo Zero: Starting from scratch — Google DeepMind deepmind.google. Checked 15 October 2026.
  4. [1712.01815] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm arxiv.org. Checked 15 October 2026.
  5. Mastering Atari, Go, chess and shogi by planning with a learned model | Nature nature.com. Checked 15 October 2026.
  6. Thomas Hubert | alphaXiv alphaxiv.org. Checked 15 October 2026.
  7. Discovering novel algorithms with AlphaTensor — Google DeepMind deepmind.google. Checked 15 October 2026.
  8. Discovering faster matrix multiplication algorithms with reinforcement learning | Nature nature.com. Checked 15 October 2026.
  9. AI achieves silver-medal standard solving International Mathematical Olympiad problems — Google DeepMind deepmind.google. Checked 15 October 2026.
  10. Olympiad-level formal mathematical reasoning with reinforcement learning | Nature nature.com. Checked 15 October 2026.