PeopleofSuperintelligence

Lab leader

Albert Q. Jiang

Also known as Albert Qiaochu Jiang, Qiaochu, 乔楚

Albert Q. Jiang is a research scientist at Mistral AI and leads its reasoning team. He studied engineering at Cambridge and computer science at Oxford, worked at the University of Toronto and FAIR France, and completed a Cambridge PhD on mathematical reasoning with language models. His work has included Mistral 7B, Mixtral, Mathstral, Magistral, LeanHammer, and Leanstral. In 2026, he coauthored a study of soft guidance for mathematical reasoning.

Works
32
Citations
745
h-index
9
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2019–2021

    A Cambridge BA and Oxford MSc

    He earns a Class I BA in engineering at the University of Cambridge in 2019 and an MSc in computer science at the University of Oxford with distinction in 2021.

  2. June 2019–October 2022

    Research at Toronto and FAIR

    He works as a research assistant at the University of Toronto from June 2019 to June 2020, then joins FAIR France as a research scientist intern from July 2022 to October 2022.

  3. 2023

    Mistral 7B

    In 2023, he coauthors Mistral 7B, a 7-billion-parameter language model with grouped-query attention for faster inference and sliding-window attention for long sequences.

  4. 2024

    Mixtral and Mathstral

    In 2024, he coauthors Mixtral of Experts, a sparse mixture-of-experts model with 47 billion parameters and 13 billion active at inference, and contributes mid- and post-training data to Mathstral.

  5. October 2024–December 2024

    A PhD in formal mathematics

    He studies how to learn abstract mathematical reasoning with language models during his Cambridge PhD; he passes his thesis examination without corrections in October 2024. By December 2024, he works full-time at Mistral AI on reasoning.

  6. 2025–2026

    Magistral and LeanHammer

    In 2025, he works on large-scale reinforcement learning for Magistral, Mistral's first reasoning model. His paper presents LeanPremise and LeanHammer, combining neural premise selection with proof reconstruction for Lean; it receives a revision in February 2026. In August 2026, he coauthors a study that compares soft guidance with chain-of-thought prompting on math problems, and works on Leanstral 1.0 and 1.5 as formal agentic models.

  7. As of October 2026

    Leading Mistral's reasoning team

    He leads Mistral AI's reasoning team and has worked as a research scientist there since June 2023; the team works on the science and infrastructure of reasoning.

A language model matched the links in this timeline to people, organizations and papers (provisional, model-judged).

Career

  1. Since 2023Mistral AIResearch Scientist and reasoning team lead
  2. 2022MetaResearch scientist intern
  3. 2022–2023University of Cambridge
  4. 2019–2020University of TorontoResearch assistant

Education

  1. 2021University of OxfordMSc in computer science
  2. 2019University of CambridgeBA in engineering

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Mistral 7B2023 · 322 citationsWith Diego de las Casas and Teven Le Scao
  2. Mixtral of Experts2024 · 141 citationsWith Diego de las Casas and Teven Le Scao
  3. Autoformalization with Large Language Models2022 · 62 citationsWith Christian Szegedy
  4. Evaluating language models for mathematics through interactions2024 · Proceedings of the National Academy of Sciences · 50 citationsWith Adrian Weller, Joshua B. Tenenbaum and Timothy Gowers
  5. Llemma: An Open Language Model For Mathematics2023 · 32 citationsWith Jia Deng

From OpenAlex, as of 18 October 2026.

  1. The median h-index is 55 at universities and 20 at frontier AI labsIncludes Albert Q. Jiang. The median h-index is 55 at universities and 20 at frontier AI labs. We compare publishing careers, citations and moves to estimate how universities and frontier labs contribute to AI research.
  2. 13% of AI career moves in the 2020s went from a university to a companyIncludes Albert Q. Jiang. Our estimates of how university-to-company career transitions changed by decade, including roles added alongside an earlier job.
  3. Google alumni founded or led 77 other organizations, the most among the labs we compareIncludes Mistral AI. We trace 177 organizations founded or led by AI lab alumni, and 186 career moves between the labs.
  4. The company share of AI researchers’ top papers rose from 2% to 33%Includes Mistral AI. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 33% in 2020–2024.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Albert Q. Jiang yet. Send us a free-licensed photo.

  1. CV - Albert Qiaochu Jiang albertqjiang.github.io. Checked 18 October 2026.
  2. [2310.06825] Mistral 7B arxiv.org. Checked 18 October 2026.
  3. Albert Qiaochu Jiang albertqjiang.github.io. Checked 18 October 2026.
  4. [2401.04088] Mixtral of Experts arxiv.org. Checked 18 October 2026.
  5. Thoughts - Albert Qiaochu Jiang albertqjiang.github.io. Checked 18 October 2026.
  6. [2506.10910] Magistral arxiv.org. Checked 18 October 2026.
  7. [2506.07477] Premise Selection for a Lean Hammer arxiv.org. Checked 18 October 2026.
  8. [2608.03550] Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve arxiv.org. Checked 18 October 2026.
  9. Albert Qiaochu Jiang | Department of Computer Science and Technology cst.cam.ac.uk. Checked 18 October 2026.