Introduction

In October 2021 I joined the Institute of Public Health at the Charité Universitätsmedizin Berlin, to work on the NeTKoH project with Innovation Fund (Federal Committee on strengthening care provision), and it has the goal to introduce and assess neurological teleconsultations with primary care physicians to enhance access to specialist care in rural areas. I’m also an associate researcher in the PreMeDICaL team at Inria Sophia Antipolis. In Spring 2022, I spent several weeks at the Simons Institute for the Theory of Computing at UC Berkeley to participate in the Causality research program.

In September 2021 I completed my PhD in statistics and applied maths at EHESS and École Polytechnique under the supervision of Jean-Pierre Nadal and Julie Josse. During my PhD I was awarded a Google PhD Fellowship in Machine Learning and I have developed statistical methods and models to help answer questions related to traumatic brain injury. For the TrauMatrix project I have worked closely with the anaesthesists Tobias Gauss and Jean-Denis Moyer.
Here are my PhD dissertation and the slides of my PhD defense that took place on September 20th, 2021.

My current research focuses on causal inference for personalized medicine, in particular treatment effect estimation with missing values, and treatment effect generalization in integrative studies.

Have a look at the activities of the causal inference and missing values group at Inria.

2020-2021

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

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.
• MAP670M (École Polytechnique, Master 2, Data Science and Mathematics for Life Sciences, Missing data and causality).
  Teaching assistant (tutorials and practical sessions).

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).

My CV is available in English, French and German.