Corentin Ségalas

Corentin Ségalas, PhD

I am a research fellow in statistics at the University Paris-Cité, member of the METHODS team of the CRESS research center. My work focus on comparing statistical methods to personalize the duration of a treatment using observational data.

Previously, I was a research fellow at the London School of Hygiene and Tropical Medicine where I have worked causal inference from observational data using propensity score methods in the presence of missing data. My PhD was done at the University of Bordeaux and aimed at building nonlinear mixed models with random changepoint to describe cognitive decline trajectories of elder people.

Research interests

  • Causal inference

  • Machine learning

  • Personalized medicine

  • Observational data


  • Award : Daniel Scwhartz PhD thesis award, French Biometric Society, 2020