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.
MSc in Applied Mathematics (Mathématiques - Vision - Apprentissage), 2018
École Normale Supérieure Paris-Saclay
BSc in Applied Mathematics, 2016
Sorbonne Université (former Université Pierre et Marie Curie)
BSc in Computer Science, 2016
Sorbonne Université (former Université Pierre et Marie Curie)
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 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.