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 …
Preprint Project

In healthcare and social sciences research, prospective observational studies are frequent, relatively easily put in place (compared to …
PDF Poster

Recent & Upcoming Talks

Doubly-robust treatment effect estimation with incomplete confounders
Sep 3, 2019 5:00 PM
Statistique Mathématique et Applications
Causal Inference with Incomplete Confounders
Jun 3, 2019 5:00 PM
51es journées de Statistique de la SFdS
Causal Inference with critical care data
May 28, 2019 2:00 PM
Séminaire Data Science pour les acteurs de la TraumaBase/TraumaMatrix
Project
Presentation of the article 'Invariant Causal Prediction for Nonlinear Models' by Heinze-Deml et al.
May 23, 2019 10:00 AM
CMAP Machine Learning Journal Club
Causal Inference with Incomplete Confounders: Treatment Effect Estimation of Tranexamic Acid on Mortality for Traumatic Brain Injury Patients
Apr 30, 2019 11:00 AM
Parietal Meeting
(Poster) Causal Inference with Missing Values: Treatment Effect Estimation of Tranexamic Acid on Mortality for Traumatic Brain Injury Patients
Mar 28, 2019 12:00 AM
EuroCIM 2019
PDF
(Poster) Causal Inference with Missing Values: Treatment Effect Estimation of Tranexamic Acid on Mortality for Traumatic Brain Injury Patients
Mar 20, 2019 6:20 PM
DAGStat 2019
PDF
Causal Inference with Missing Values: Treatment Effect Estimation of Tranexamic Acid on Mortality for Traumatic Brain Injury Patients (Talk given by Julie Josse)
Jan 22, 2019 4:00 PM
Séminaire de Probabilités et Statistique
Slides
Presentation of Ben Haeffele's paper on Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Application
Dec 13, 2018 10:00 AM
CMAP Machine Learning Journal Club
Slides
Introduction to Causal Inference
Nov 26, 2018 10:00 AM
Julie Josse’s students group meeting
Slides

Recent Posts

Our new paper presents ‘R-miss-tastic’, a platform that aims to provide an overview of standard missing values problems, …
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Last updated on 2 min read

This year, the Forwards taskforce of the R foundation awarded 25 conference R community members with a scholarship for members of …
Last updated on 1 min read

Proposal of a new doubly robust treatment effect estimator handling missing values in the confounders with proven consistency results.
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Last updated on 1 min read

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.

CV

My CV is available in English, French and German.

Tags

Contact

  • Room A4-29, CAMS, EHESS, 54 boulevard Raspail, 75006 Paris