Recent Publications

This study demonstrated the feasibility to apply causal inference techniques in incomplete observational data. DR based on a stronger …

Submitted paper co-authored with Julie Josse and the Traumabase Group.

Submitted review co-authored with Bénédicte Colnet and many others.

Objective: To assess the clinical effectiveness of oral hydroxychloroquine (HCQ) with or without azithromycin (AZI) in preventing death …

Technical report

Missing values are unavoidable when working with data. Their occurrence is exacerbated as more data from different sources become …

In Annals of Applied Statistics

MSc thesis, prepared under the supervision of Prof. René Vidal.

Recent & Upcoming Talks

More Talks

Generalizing treatment effects with incomplete covariates
Jul 12, 2022
Causal Survival Analysis from Theory to Practice
Jun 29, 2022
Treatment effect estimation with incomplete attributes
Aug 9, 2021
Transporting treatment effects with incomplete attributes
Jul 2, 2021

Recent Posts

More Posts

Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and …

We’re excited to announce the Leveraging Observational Data with Machine Learning Virtual Workshop - brought to you by Michael …

La neuvième journée YSP aura lieu sous un format un peut différent des éditions précédentes : deux demi-journées en distanciel les …

The Young Statisticians Europe (YSE) launch the YoungStatS blog and webinar project to promote research in Statistics and Data Science! …

I’m happy to officially share the great news that I’m a Google PhD fellow in Machine Learning this year. I’m very …



SAMSI - Missing data working group

Data integration: combining multiple data sources for causal inference & Bridging theory and practice.
Combining trial and real-world evidence studies, probability and non-probability samples, etc.


The Young Statisticians of the French Statistical Society regroups graduate students, post-docs and young professors in France.

R Forwards

R Foundation taskforce on women and other underrepresented groups.


A decision support tool for critical care management.


A unified platform on missing values, founded by the R Consortium. Have a look at Nick Tierney’s blog post introducing this project.


March 2022 – April 2022
Berkeley, CA, USA

Visiting Researcher

Simons Institute for the Theory of Computing, UC Berkeley

  • Topic: Causality research semester.
March 2020 – March 2020
Stanford, CA, USA

Visiting Student Researcher

Center for Biomedical Informatics Research, Stanford University

  • Topic: Heterogeneous treatment effect estimation.
  • Advisors: Stefan Wager, Nigam Shah.
  • Fellowship: FSMP pre-doctoral scientific research visit fellowship.
October 2018 – September 2021
Paris, France

PhD student and teaching assistant

École des Hautes Études en Sciences Sociales, École Polytechnique, Inria

  • Activities: Development of new statistical tools to analyze observational data, collaborations with clinical researchers from critical care, preparation and teaching of statistical courses in different Master’s degree programs.
  • Topic: Statistical methods for the handling of incomplete and heterogeneous data.
  • Advisors: Julie Josse, Jean-Pierre Nadal.
  • Fellowship: École doctorale de l’EHESS (ED 286) doctoral fellowship (contrat doctoral).
April 2018 – September 2018
Baltimore, MD, USA

Visiting Student Researcher

Center for Imaging Science, Johns Hopkins University

  • Topic: Global optimality of sparse dictionary learning (subject of my master’s thesis).
  • Advisor: René Vidal.
June 2017 – July 2017
Paris, France

Research Intern

LPSM, Sorbonne Université (former LSTA, Université Pierre et Marie Curie)

September 2016 – January 2017
Berlin, Germany

Working Student

Foodora GmbH

Data analyses, mainly based on Google Analytics, for Business Intelligence and Global Logistics Operations Teams. Supervisor: Tobias Schmidt
July 2016 – August 2016
Berlin, Germany

Data Science Intern

Foodora GmbH

Data analyses, mainly based on Google Analytics, for Business Intelligence and Global Logistics Operations Teams. Supervisor: Tobias Schmidt



  • Causal inference for observational clinical data (AI4Health winter school).
    Tutorial on missing values and practical sessions.


  • MAP535 (École Polytechnique, 3ème année/Master 1, Applied mathematics, Regression).
    Teaching assistant (tutorials and practical sessions).
  • MAP573 (École Polytechnique, 3ème année/Master 1, Applied mathematics, Data Analysis and Unsupervised Learning).
    Student research project advisor.
  • MAP670M (École Polytechnique, Master 2, Data Science and Mathematics for Life Sciences, Missing data and causality).
    Teaching assistant (tutorials and practical sessions).


  • MAP573 (École Polytechnique, 3ème année/Master 1, Applied mathematics, R for statistics).
    Student research project advisor.
  • D4M Certificate (HEC, Master 2, Management, Case study).
    Teaching assistant (practical sessions).


My CV is available in English, French and German.


  • Institut für Public Health, Berlin