Introduction

In October 2018 I have started a position as PhD student in statistics and applied maths at EHESS and École Polytechnique under the supervision of Jean-Pierre Nadal and Julie Josse. In 2020 I have been named a Google PhD Fellow in Machine Learning. My current research focuses on the analysis of heterogeneous data with missing values and on causal inference with missing values. I develop methods and models which will be applied on a French database on severely traumatized patients, Traumabase®, to help answer questions related to traumatic brain injury. For this project I work closely with the anaesthesists Tobias Gauss and Jean-Denis Moyer, members of the Traumabase® Group.

Have a look at the activities of our 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.