PeopleofSuperintelligence

Researcher

Diego de las Casas

Diego de las Casas is an AI researcher who has co-authored papers on large language models at Google DeepMind and Mistral AI. He joined DeepMind as a research engineer in 2016, and in 2021 he co-authored Scaling Language Models: Methods, Analysis & Insights from Training Gopher. A paper he co-authored, 'An empirical analysis of compute-optimal large language model training', received a NeurIPS 2022 Outstanding Paper award. He then co-authored Mistral 7B in 2023, Mixtral of Experts in 2024, Magistral in 2025, and Ministral 3 in 2026. As of October 2026, he is an AI scientist at Mistral AI, after earlier work at Google DeepMind.

Works
24
Citations
4,327
h-index
13

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2016

    A research engineer at DeepMind

    He joins DeepMind as a research engineer in 2016, working on deep learning and reinforcement learning.

  2. 2021

    Scaling language models

    In 2021, he co-authors Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

  3. 2022

    A NeurIPS Outstanding Paper

    A paper he co-authors, 'An empirical analysis of compute-optimal large language model training', receives a NeurIPS 2022 Outstanding Paper award.

  4. 2023

    Co-authoring Mistral 7B

    Mistral 7B, a 7-billion-parameter language model, appears in 2023 with him among its co-authors.

  5. 2024

    Mixtral 8x7B mixture of experts

    Mixtral of Experts, which introduces Mixtral 8x7B as a sparse mixture-of-experts language model, appears in 2024 with him among its co-authors.

  6. 2025

    Mistral's first reasoning model

    Magistral, Mistral's first reasoning model, appears in 2025 with him as a co-author.

  7. 2026

    Ministral 3 language models

    In 2026, he co-authors Ministral 3, a family of parameter-efficient dense language models.

  8. As of October 2026

    An AI scientist at Mistral

    He is an AI scientist at Mistral AI, having previously worked at Google DeepMind.

Sources and credits

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  1. Diego de las Casas – KHIPU khipu.ai. Checked 15 October 2026.
  2. [2112.11446] Scaling Language Models: Methods, Analysis & Insights from Training Gopher arxiv.org. Checked 15 October 2026.
  3. NeurIPS 2022 Awards neurips.cc. Checked 15 October 2026.
  4. [2203.15556] Training Compute-Optimal Large Language Models arxiv.org. Checked 15 October 2026.
  5. [2310.06825] Mistral 7B arxiv.org. Checked 15 October 2026.
  6. [2401.04088] Mixtral of Experts arxiv.org. Checked 15 October 2026.
  7. [2506.10910] Magistral arxiv.org. Checked 15 October 2026.
  8. [2601.08584] Ministral 3 arxiv.org. Checked 15 October 2026.
  9. Diego de las Casas — The Who's Who of AI | AI Weekly aiweekly.co. Checked 15 October 2026.