Team members

Permanent researchers (PIs)

Junior research members


  • Matthieu Doutreligne – PhD student. Working on transfer learning and causal inference for public health, in partnership with HAS.
  • Léo Grinsztajn – PhD Student. Working on neural networks for tabular and relational data.
  • Alexandre Perez – PhD Student. Working on supervised learning in the presence of missing values and assessment of classification confidences through calibration and grouping loss.
  • Félix Lefebvre – PhD Student. Working on large-scale graph-embedding methods to represent large relational stores.
  • Samuel Girard – Intern. Reinforcement learning in education.
  • Julie Alberge – Intern. Modeling trajectories of diabetic patients from AP-HP.



  • Lilian Boulard – software engineering apprentice. Working on skrub
  • Tomas Rigaux – data scientist. Working on recommendations for the job market.
  • Jovan Stojanovic– data science and software engineer. Working on skrub and data science on databases with normalization errors.

Scikit-learn team

Soda hosts part of the scikit-learn development team, including funding via Inria foundation.

  • Arturo Amor-Quiroz – Research software engineer and PhD in physics. Focused on the scikit-learn documentation.
  • Jérémie du Boisberranger – Research software engineer and physicist. Core developer to scikit-learn since 2019.
  • Franck Charras – Research software engineer. Working on a GPU programming project, within a partnership with Intel®.
  • Vincent Maladière – Research software engineer, focusing on data wrangling, survival analysis, and MLOps. Working on scikit-learn, skrub, and hazardous. Collaboration on health data with AP-HP.
  • Loïc Estève – Research software engineer and physicist. Core developer to scikit-learn since 2016.
  • Olivier Grisel – Research software engineer. Core developer to scikit-learn since 2010.
  • François Goupil – Research software engineer.  Animates our community, manages the operations of the consortium and the relationship with our patrons
  • Guillaume Lemaître – Research software engineer. Core developer to scikit-learn since 2017.

Group photo 2023


Research Team Assistant

  • Marie Énée


  • Samuel Brasil de Alburquerque – PhD student. Working on diabetes epidemiology from observational health informatics.
  • Alexis Cvetkov-Iliev – PhD student. Working on statistical analysis across relational databases with embeddings.
  • Bénédicte Colnet – PhD student. Working on causal inference, with a focus on assessing randomized controlled trials’ external validity.
  • Julien Jerphanion – Research software engineer. Core developer to scikit-learn since 2021.

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