PeopleofSuperintelligence

Researcher

Gauthier Guinet

Gauthier Guinet is a machine-learning researcher whose work spans Bayesian optimization, decision-making under uncertainty, and language models. He earned mathematics degrees at École Polytechnique and an operations-research master's at MIT. His 2022 NeurIPS paper examined censored bandit problems, and his 2024 and 2025 papers studied evaluation for retrieval-augmented models and code changes. At Mistral AI, he coauthored Magistral, its first reasoning model, in 2025 and the Ministral 3 paper in 2026. As of October 2026, he is a Research Scientist at Mistral AI in San Francisco.

Timeline

  1. 2017–2022

    Applied mathematics and Bayesian optimization

    At École Polytechnique, he earns a BS in mathematics in 2017 and an MS in applied mathematics in 2020, with undergraduate research in Bayesian optimization, fact-checking, and bilingual induction. He coauthors a 2020 NeurIPS Meta-Learning Workshop paper on cost-aware Bayesian optimization. At MIT's Operations Research Center, he studies decision-making under uncertainty in transportation, pricing, and recommender systems and earns an MS in Operations Research in 2022 under advisors Saurabh Amin and Patrick Jaillet.

  2. 2022

    Bandits under censorship

    In 2022, he coauthors the NeurIPS paper “Effective Dimension in Bandit Problems under Censorship” with Saurabh Amin and Patrick Jaillet. It studies multi-armed and contextual bandits in censored environments and uses effective dimension to measure statistical complexity.

  3. 2024

    Evaluating retrieval-augmented models

    In 2024, he coauthors a method that measures the task-specific accuracy of retrieval-augmented language models. The method scores each model on a synthetic multiple-choice exam built from task documents and is tested on four question-answering tasks.

  4. January 2025

    LLM critics for code changes

    In January 2025, he coauthors an LLM-critic method to evaluate code changes without running them. It predicts whether code edits are executable and predicts build status with reference test patches.

  5. June 2025

    Magistral reasoning model

    In June 2025, he coauthors the Magistral paper, which introduces Mistral's first reasoning model and a scalable reinforcement-learning pipeline.

  6. January 2026

    Compact Ministral 3 models

    In January 2026, he coauthors the Ministral 3 paper, which presents dense language models in 3B, 8B, and 14B sizes for applications with limited compute and memory. It describes pretrained, instruction-tuned, and reasoning versions for each size.

  7. As of October 2026

    Research scientist at Mistral

    As of October 2026, he is a Research Scientist at Mistral AI in San Francisco.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Gauthier Guinet gguinet.github.io. Checked 19 October 2026.
  2. Effective Dimension in Bandit Problems under Censorship papers.nips.cc. Checked 19 October 2026.
  3. Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation proceedings.mlr.press. Checked 19 October 2026.
  4. Large Language Model Critics for Execution-Free Evaluation of Code Changes arxiv.org. Checked 19 October 2026.
  5. Magistral arxiv.org. Checked 19 October 2026.
  6. Ministral 3 arxiv.org. Checked 19 October 2026.
  7. Jaillet-Current Research mit.edu. Checked 19 October 2026.