PeopleofSuperintelligence

Researcher

George van den Driessche

George van den Driessche co-wrote papers on game-playing AI and large language models, starting with AlphaGo in January 2016 and AlphaGo Zero in October 2017. He co-wrote the Gopher and RETRO papers in December 2021, and the Chinchilla paper in March 2022. NeurIPS named the Chinchilla paper an Outstanding Paper in 2022. He also co-wrote the Gemini reports of December 2023 and March 2024. In September 2025 he is credited with research on LIGO, a collaboration that includes Google DeepMind.

Timeline

  1. January 2016

    A Nature paper on AlphaGo

    He co-authors the Nature paper on AlphaGo, which appears in January 2016.

  2. October 2017

    An AlphaGo Zero paper

    He co-authors the Nature paper on AlphaGo Zero, which appears in October 2017.

  3. December 2021

    Gopher and RETRO papers

    He co-authors the Gopher and RETRO papers, which are submitted to arXiv in December 2021.

  4. March 2022

    The Chinchilla paper

    He co-authors Training Compute-Optimal Large Language Models, which is submitted to arXiv in March 2022.

  5. 2022

    A NeurIPS Outstanding Paper

    He co-authors the Chinchilla paper, which NeurIPS names an Outstanding Paper in 2022.

  6. December 2023

    Co-authoring the Gemini report

    He co-authors the Gemini report, which is submitted to arXiv in December 2023.

  7. March 2024

    Co-authoring Gemini 1.5

    He co-authors the Gemini 1.5 report, which is submitted to arXiv in March 2024.

  8. September 2025

    Credited on LIGO research

    He is credited with research on LIGO, a collaboration that includes Google DeepMind, in September 2025.

Sources and credits

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  1. Mastering the game of Go with deep neural networks and tree search | Nature nature.com. Checked 14 October 2026.
  2. Mastering the game of Go without human knowledge | Nature nature.com. Checked 14 October 2026.
  3. [2112.11446] Scaling Language Models: Methods, Analysis & Insights from Training Gopher arxiv.org. Checked 14 October 2026.
  4. [2112.04426] Improving language models by retrieving from trillions of tokens arxiv.org. Checked 14 October 2026.
  5. [2203.15556] Training Compute-Optimal Large Language Models arxiv.org. Checked 14 October 2026.
  6. NeurIPS 2022 Awards neurips.cc. Checked 14 October 2026.
  7. [2312.11805] Gemini: A Family of Highly Capable Multimodal Models arxiv.org. Checked 14 October 2026.
  8. [2403.05530] Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context arxiv.org. Checked 14 October 2026.
  9. Using AI to perceive the universe in greater depth — Google DeepMind deepmind.google. Checked 14 October 2026.