PeopleofSuperintelligence

Researcher

Arnaud Doucet

Arnaud Doucet is a statistician whose AI research includes generative models. Born in 1970, he earned a PhD at University Paris-XI (Orsay) in 1997 and held academic posts in Melbourne, Cambridge, British Columbia, and Japan before becoming Professor of Statistics at Oxford in 2011. He joined Google DeepMind as a Senior Staff Research Scientist in 2019 and moved to full-time work there in April 2023. His coauthored Riemannian Score-Based Generative Modelling extended score-based generative models to Riemannian manifolds and was named among NeurIPS's 2022 Outstanding Papers; he received the Guy Medal in Silver in 2020 and the Akaike Memorial Award in 2024. As of October 2026, he leads a generative AI team at Google DeepMind and is a Visiting Professor of Statistics at Oxford.

Works
697
Citations
40,725
h-index
70
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1970–1997

    A doctorate in Paris

    Born in 1970, he earns a PhD from University Paris-XI (Orsay) in 1997.

  2. 2001–2005

    Posts in Melbourne and Cambridge

    He serves as an assistant professor at the University of Melbourne from 2001 to 2002 and at the University of Cambridge from 2002 to 2005.

  3. 2005–2011

    Statistics posts in Canada and Japan

    He serves as a project professor at Japan's Institute of Statistical Mathematics in 2009 and an associate professor at the University of British Columbia from 2005 to 2011.

  4. 2011–2023

    Professor at Oxford

    He becomes Professor of Statistics at Oxford in 2011 and holds the statutory chair until 2023. He joins Google DeepMind as a Senior Staff Research Scientist in 2019 and moves to full-time work there in April 2023.

  5. 2020

    A Guy Medal in Silver

    In 2020, he receives the Royal Statistical Society's Guy Medal in Silver.

  6. 2022

    Riemannian score-based models

    In 2022, he coauthors Riemannian Score-Based Generative Modelling, which extends score-based generative models from Euclidean space to Riemannian manifolds; NeurIPS lists it among the Outstanding Papers.

  7. 2024

    An Akaike award

    He receives the Akaike Memorial Award of the Japanese Statistical Society and serves as the Breiman Lecturer at NeurIPS.

  8. As of October 2026

    A team at Google DeepMind

    As of October 2026, he is a Senior Staff Research Scientist at Google DeepMind and leads a team working on generative AI. He is also a Visiting Professor of Statistics at Oxford.

Career

  1. Since 2019Google DeepMindSenior Staff Research Scientist
  2. Since 2011University of OxfordProfessor of Statistics, Visiting Professor of Statistics
  3. 2020–2026Google
  4. 2009Research Organization of Information and SystemsProject Professor
  5. 2005–2011University of British ColumbiaAssociate Professor
  6. 2002–2005University of CambridgeAssistant Professor
  7. 2001–2002University of MelbourneAssistant Professor
  8. 1996–2002École Nationale Supérieure de l'Électronique et de ses Applications

Education

  1. 1997Université Paris-SudPhD

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

Most-cited works

  1. Sequential Monte Carlo Methods in Practice2001 · Springer eBooks · 7,405 citations
  2. On sequential Monte Carlo sampling methods for Bayesian filtering2000 · Statistics and Computing · 4,432 citations
  3. An Introduction to MCMC for Machine Learning2003 · Machine Learning · 2,449 citationsWith Michael I. Jordan and Nando de Freitas
  4. Particle Markov Chain Monte Carlo Methods2010 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1,973 citations
  5. Sequential Monte Carlo Samplers2006 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1,639 citations

From OpenAlex, as of 18 October 2026.

  1. The median h-index is 54 at universities and 20 at frontier AI labsIncludes Arnaud Doucet. The median h-index is 54 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. Google has the highest combined h-index among AI organizationsIncludes Google. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  3. Google alumni founded or led 82 other organizations, the most among the labs we compareIncludes Google. We trace 189 organizations founded or led by AI lab alumni, and 196 career moves between the labs.
  4. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.

Colleagues

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

Sources and credits

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  1. Announcement of the Awardee of the Fifth Akaike Memorial Lecture Award ism.ac.jp. Checked 18 October 2026.
  2. Arnaud Doucet - Google DeepMind arnauddoucet.github.io. Checked 18 October 2026.
  3. Announcing the NeurIPS 2022 Awards blog.neurips.cc. Checked 18 October 2026.
  4. Riemannian Score-Based Generative Modelling proceedings.neurips.cc. Checked 18 October 2026.
  5. Arnaud Doucet | ELLIS Oxford ellis.ox.ac.uk. Checked 18 October 2026.