Experience

 
 
 
 
 
April 2018 – September 2018
Baltimore

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

Research Intern

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

 
 
 
 
 
September 2016 – January 2017
Berlin

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

Data Science Intern

Foodora GmbH

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

Recent Publications

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

submitted

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

Recent & Upcoming Talks

More Talks

Interpretable ML: insights from a causal inference perspective
Jan 24, 2020
Doubly-robust treatment effect estimation
Dec 3, 2019
Doubly-robust treatment effect estimation with incomplete confounders
Sep 3, 2019
Causal Inference with Incomplete Confounders
Jun 3, 2019

Recent Posts

Our new paper presents ‘R-miss-tastic’, a platform that aims to provide an overview of standard missing values problems, …

This year, the Forwards taskforce of the R foundation awarded 25 conference R community members with a scholarship for members of …

Proposal of consistent doubly robust treatment effect estimators handling missing attributes (missing values in the covariates).

Projects

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R Forwards

R Foundation taskforce on women and other underrepresented groups.

TraumaMatrix

A decision support tool for critical care management.

R-miss-tastic

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

Teaching

2019-2020

  • 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.

2018-2019

  • 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).

CV

My CV is available in English, French and German.

Contact

  • Room A5-20, CAMS, EHESS, 54 boulevard Raspail, 75006 Paris