Hi ! Welcome to my page.

Marie-Félicia Beclin

I am currently a postdoctorant researcher on Causal Inference and Biostatistics at the Team EPIDERM in Université Paris-Est Créteil. I am supervised by Pr Tat Thang Vo

Previously I was ATER at Université de Montpellier. I worked with Dr. Julie Josse and Pr Jean-Baptiste Woillard on Superlearner for Synthetic Data Generation.

Previously I was a PhD student at Université de Montpellier within the Desbrest Institute of Epidemiology and Public Health, and I am also a member of the team PreMeDICaL at Inria. I am supervised by Nicolas Molinari and Pierre Lafaye de Micheaux.

While my foundational education is in engineering, having graduated from Ecole des Mines de Saint-Etienne, my current focus lies in the realm of applied statistics. Specifically, I am engrossed in the analysis of thoracic computed tomography scans from patients afflicted by asthma. I am also working on Synthetic Data Generation and Causal Inference.

I am member of the “Groupe des jeunes statisticiennes et statisticiens” from the French Statistics Society (SFdS)

Talks

Publication

Preprint

Marie-Félicia Beclin, Giulia Marchello, Jean-Baptiste Woillard, Julie Josse. Super learner for tabular synthetic data generation. 2025. ⟨hal-05285855⟩

Béclin, M. F., de Micheaux, P. L., Molinari, N., & Ouimet, F. (2024). A linear regression model for quantile function data applied to paired pulmonary 3d CT scans., A linear regression model for quantile function data applied to paired pulmonary 3d CT scans.

Teaching

Université Paris Saclay Teaching assistant of Pr Tat Thang Vo in “Introduction to Causal Inference” - Master2 Research in Public Health.

Université de Montpellier (ATER)

  • Probability Life Science License (Probability on a finite universe, binomial distribution, conditional probabilities)
  • Probability-Statistics Computer Science License (Probability on a finite universe, binomial distribution, conditional probabilities, basic Statistics)
  • Statistics and Introduction to Machine-Learning in Engineering School- Polytech Montpellier

Université de Montpellier (during my PhD)

  • Algebra License 1 (Vector space, linear applications)
  • Probability Life Science License (Probability on a finite universe, binomial distribution, conditional probabilities)
  • Polytech Prep First Year: Algebra (Vector space, linear applications, bases, determinant, Gaussian pivot, Riemann integral)
  • Polytech Prep Second Year: Analysis (Sequences and Series of functions)

Lycée La Merci - Montpellier

  • Oral interview math : “Khôlle” , MP , 2023-2024

CV