PeopleofSuperintelligence

Researcher

Emile Mathieu

Emile Mathieu is a machine learning researcher whose work connects geometry with generative models for science and protein design. He studied mathematics, physics and computer science in France and earned a machine learning PhD at Oxford. His coauthored Riemannian Score-Based Generative Modelling won a 2022 NeurIPS Outstanding Paper award, and his 2023 work brought geometric priors to diffusion models for scientific data. Since February 2024, he is a Machine Learning Research Scientist at Xaira Therapeutics in London, developing generative models for antibody design.

Now at
Xaira Therapeutics
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Timeline

  1. 2011–2017

    Education in France

    In 2011, he completes the science-major French baccalauréat with a mathematics option in Nantes, then studies mathematics and physics in preparatory classes through 2013. He earns a science BSc at École des Ponts ParisTech in 2013–2014 and completes an MSc (I) in mathematics and computer science there in 2014–2015. From 2016 to 2017, he completes an MSc (II) in machine learning and computer vision through the MVA program at ENS Paris-Saclay.

  2. 2019

    Facebook AI Research internship

    In 2019, he works as a research intern at Facebook Artificial Intelligence Research in New York, extending normalizing flows to manifolds for climate science under Maximilian Nickel.

  3. 2021

    An Oxford PhD

    He completes a PhD in machine learning in Oxford's Department of Statistics under Yee Whye Teh in 2021.

  4. August 2021

    Oxford postdoctoral research

    In August 2021, he starts a postdoctoral position in Oxford's Statistical Machine Learning Group under Arnaud Doucet.

  5. July 2022–February 2024

    Cambridge postdoctoral research

    From July 2022 to February 2024, he works as a postdoctoral research associate in Cambridge's Department of Engineering with Richard Turner and José Miguel Hernández-Lobato. He studies diffusion models and flow matching for natural-science applications.

  6. 2022

    A NeurIPS Outstanding Paper

    In 2022, he coauthors Riemannian Score-Based Generative Modelling, which extends score-based models to Riemannian manifolds. The paper receives a NeurIPS Outstanding Paper Award.

  7. 2023

    Geometric Neural Diffusion Processes

    In 2023, he coauthors Geometric Neural Diffusion Processes, adding geometric priors to diffusion models for infinite-dimensional data. The method uses a symmetry-equivariant score network to model scalar and vector fields on synthetic and real-world weather data.

  8. Since February 2024

    Research scientist at Xaira

    Since February 2024, he is a Machine Learning Research Scientist at Xaira Therapeutics in London, developing generative models for antibody design. In October 2026, Xaira lists him among the X-Design contributors in its report on de novo therapeutic antibody design.

Career

  1. Since 2024Xaira TherapeuticsMachine Learning Research Scientist
  2. 2022–2024University of CambridgePostdoctoral Research Associate
  3. From 2021University of OxfordPostdoctoral researcher
  4. 2019FAIR (Meta)Research Intern

Education

  1. 2021University of OxfordPhD
  2. 2017École Normale Supérieure Paris-SaclayMSc in machine learning and computer vision
  3. 2015École des Ponts ParisTechMSc (I) in mathematics and computer science
  4. 2014École des Ponts ParisTechBSc

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Emile Mathieu. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. 23% of people shaping AI who left a university for a company later returned to a universityIncludes Emile Mathieu. We estimate that 468 of the 2,011 people shaping AI who left a university for a company (23%) later returned to a university after a median of 5 years, and 163 of 829 (20%) made the reverse round trip.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Cambridge. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Cambridge. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Emile Mathieu yet. Send us a free-licensed photo.

  1. Curriculum Vitae - Emile Mathieu emilemathieu.fr. Checked 22 October 2026.
  2. About - Emile Mathieu emilemathieu.fr. Checked 22 October 2026.
  3. Oxford Statistics Researchers win Outstanding Paper award at NeurIPS 2022 | Department of Statistics - University of Oxford stats.ox.ac.uk. Checked 22 October 2026.
  4. Riemannian Score-Based Generative Modelling proceedings.neurips.cc. Checked 22 October 2026.
  5. Geometric Neural Diffusion Processes arxiv.org. Checked 22 October 2026.
  6. De Novo Design of Progressable Antibodies to Therapeutic Targets xaira.com. Checked 22 October 2026.