CV

This is a shorter version of my CV.

Education

Ph.D in Mathematics and applications, University of Luxembourg, 2023
Advisor: Yannick Baraud
Thesis: ‘Robust estimation for possibly dependent observations: application to mixture and hidden Markov models’
M.S. in Mathematics, Université Paris-Saclay, 2018
Probability and statistics track.
B.S. in Mathematics, Université Claude Bernard de Lyon, 2016
Élève normalien at École Normale Supérieure de Lyon, 2015–2019

Since September 2024: Postdoc at MISTEA, INRAE Montpellier, with Nicolas Verzelen.
Subject: Signal detection in active sensing.
09/2019–12/2023: Doctoral researcher at the University of Luxembourg, member of the SanDAL team.
Subject: Robust estimation for dependent observations.
03/2019–07/2019: Internship at BioSP, INRAE Avignon, with Edith Gabriel.
Subject: Estimation of the conditional intensity of a point process.
10/2018–02/2019: Internship at Laboratoire J.A. Dieudonné, Université Côte d’Azur, with Yannick Baraud.
Subject: \(\rho\)-estimation for finite state space hidden Markov models.
04/2018–07/2018: Master thesis at MISTEA, INRAE Montpellier, with Nicolas Verzelen.
Subject: Statistical analysis of inventory data.
05/2017–07/2017: Internship at STOR-i, Lancaster University, with Paul Fearnhead.
Subject: Quasi-stationary distributions and their simulation.
05/2016–06/2016: Internship at Institut Mathématiques de Toulouse, Université Paul Sabatier, with Jean-Michel Loubes.
Subject: A convergence theorem with respect to the Wasserstein metric.

Teaching Assistant: taught several courses in the Bachelor of Mathematics at the University of Luxembourg during my doctoral education.
Tutoring: Math Forge program at the University of Luxembourg during the winter semester of the academic year 2019/2020.

Referee for Annales de l’Institut Henri Poincaré, Probabilités et Statistiques (x1).

PhD representative for 2 years.
It includes the organization of the PhD away days.