PeopleofSuperintelligence

Researcher

Mathieu Even

Mathieu Even is a machine learning researcher at Inria Montpellier whose work covers decentralized optimization, privacy and causal inference for medicine. He studied mathematics and physics at the École Normale Supérieure de Paris and completed a PhD at Inria Paris and ENS Paris under Laurent Massoulié in 2024. His 2021 paper on continuized accelerations of gradient descents and gossip algorithms, written with Raphaël Berthier, Francis Bach and others, received a NeurIPS 2021 Outstanding Paper award, and his thesis earned an accessit to the 2024 Gilles Kahn prize. After a postdoc in the Premedical team from October 2024, he joined Inria Montpellier as a researcher in October 2025, and he works there on causal inference, machine learning and privacy in a medical context.

Now at
Inria

Timeline

  1. 2017–2021

    Studies at ENS Paris

    He studies mathematics and physics at the École Normale Supérieure de Paris from 2017 to 2021. In 2020, he completes a master's program in probability and statistics at Université d'Orsay/Paris-Saclay.

  2. 2021

    A NeurIPS Outstanding Paper

    In 2021, he coauthors "Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms" with Raphaël Berthier, Francis Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié and Adrien Taylor, and it receives a NeurIPS 2021 Outstanding Paper award. The paper introduces a continuized variant of Nesterov acceleration and gives the first rigorous acceleration of asynchronous gossip algorithms.

  3. 2021–2024

    PhD under Laurent Massoulié

    He is a PhD student at Inria Paris and ENS Paris from September 2021 to June 2024, working on the theory and algorithms of machine learning under Laurent Massoulié. His thesis, "Towards Decentralization, Asynchrony, Privacy and Personalization in Federated Learning," is carried out in the Argo team.

  4. 2022

    Asynchronous SGD under delays

    In 2022, he coauthors "Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays" at NeurIPS with Konstantin Mishchenko, Francis Bach and Blake Woodworth. The paper proves guarantees for asynchronous SGD that depend on the number of parallel devices used, whatever the size of the delays in the gradients.

  5. 2024

    Asynchronous speedup in decentralized optimization

    In 2024, his paper with Hadrien Hendrikx and Laurent Massoulié appears in IEEE Transactions on Automatic Control. It analyzes asynchronous algorithms in networks with heterogeneous delays, with a convergence rate controlled by the eigengap of the network graph weighted by local delays.

  6. 2024

    Gilles Kahn thesis prize accessit

    He receives an accessit in the 2024 Gilles Kahn thesis prize of the Société Informatique de France for his PhD thesis on federated learning.

  7. October 2024–September 2025

    Postdoc in the Premedical team

    From October 2024 to September 2025, he is a postdoc in the Premedical team at Inria Montpellier.

  8. Since October 2025

    Researcher at Inria Montpellier

    He becomes a researcher (chargé de recherche) at Inria Montpellier in October 2025, in the Premedical team, working on causal inference, machine learning and privacy in a medical context. He also works with the startup Theremia Health.

Career

  1. Since 2024InriaPostdoc, Researcher (chargé de recherche)

Education

  1. 2024InriaPhD
  2. 2024École Normale SupérieurePhD
  3. 2021École Normale Supérieure
  4. 2020Université Paris-SaclayMaster's

From the biography.

  1. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes Inria. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Inria. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes Inria. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Inria. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.

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 Mathieu Even yet. Send us a free-licensed photo.

  1. Mathieu Even mathieueven.netlify.app. Checked 21 October 2026.
  2. NeurIPS 2021 Awards neurips.cc. Checked 21 October 2026.
  3. Announcing the NeurIPS 2021 Award Recipients – NeurIPS Blog blog.neurips.cc. Checked 21 October 2026.
  4. A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip arxiv.org. Checked 21 October 2026.
  5. Prix de thèse Gilles Kahn, 2 lauréats issus de nos équipes-projets inria-alumni.fr. Checked 21 October 2026.
  6. Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays proceedings.neurips.cc. Checked 21 October 2026.
  7. Asynchronous speedup in decentralized optimization arxiv.org. Checked 21 October 2026.
  8. Team members – PreMeDICaL Inria-Inserm team team.inria.fr. Checked 21 October 2026.