Christophe Muller
Scholar

Christophe Muller

Google Scholar ID: TULXuW8AAAAJ
INRIA
statisticscausalitymissing values
Citations & Impact
All-time
Citations
0
 
H-index
0
 
i10-index
0
 
Publications
2
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published a paper on graph-based multi-agent reinforcement learning for railway infrastructure decision support and a preprint on theoretical and empirical insights for logistic models with missing values.
Research Experience
  • Research Engineer at INRIA - PreMeDICAL in Montpellier, France (Oct 2024 - Sept 2025), focusing on missing data imputation and classification with missing data; Supervisory Technology Trainee at the European Central Bank (Sept-Dec 2023), contributing to the future of European banking supervision; Junior Data Analyst at Hornet, a queer social network.
Education
  • Bachelor's in Econometrics and Operations Research from Maastricht University (2019-2022), graduating Summa Cum Laude; Master's in Statistics from ETH Zürich (2022-2024), with a distinction; DPhil (PhD) in Statistics at the University of Oxford starting September 2025, under the supervision of Robin Evans.
Background
  • A statistics researcher working with Julie Josse, Erwan Scornet, and Jeffrey Näf on missing data imputation and classification with incomplete datasets, as part of the INRIA PreMeDICaL team.
Miscellany
  • Six-time semi-finalist of the Mathematical Olympiad of Belgium.
Co-authors
0 total
Co-authors: 0 (list not available)