Antoine Chambaz
Scholar

Antoine Chambaz

Google Scholar ID: RNdXNHEAAAAJ
Professor of Statistics, MAP5 (UMR CNRS 8145), Université de Paris
Semiparametricsreinforcement learningbiostatistics
Citations & Impact
All-time
Citations
559
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Published numerous papers across various fields, such as on simulators, quantile super learning, and emergency department predictions, appearing in journals like Computo, Computational Statistics and Data Analysis, among others.
Research Experience
  • Since January 2024, he has been the director of the MAP5 laboratory; from 2020 to 2023, he led the Fédération Parisienne de Modélisation Mathématique; between 2012 and 2017, he was a member of Modal'X laboratory, serving as its head from February 2014 to October 2017.
Background
  • Research interests include semi-parametric statistics, targeted learning, reinforcement learning, biostatistics, applications in medicine and public health, causal analysis, variable importance analysis, personalized medicine, and adaptive schemes for randomized trials. Currently a professor at Université Paris Cité and a member of the MAP5 laboratory.