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)

Poster

• Marie-Félicia Beclin, Tat-Thang Vo, Causally Interpretable Meta-Mediation Analysis Abstract Recent Advances in Machine Learning for Healthcare, Jan 2026, Paris, France. ⟨hal-05572188⟩

Talks

• Marie-Félicia Beclin, Jean-Baptiste Woillard, Giullia Marchello,Julie Josse, Super learner for tabular synthetic data generation, Journées des Biostatistiques, Montpellier, November 2025 - 20 minutes talk.

• Marie-Félicia Beclin, Jean-Baptiste Woillard, Giullia Marchello,Julie Josse, Super learner for tabular synthetic data generation, Seminare of the Team INRIA SODA, June 2025.

• Marie-Félicia Beclin, Pierre Lafaye de Micheaux, Nicolas Molinari, Regression Models for Quantile Function Data Applied to CT-Scans of Asthmatic Patients, Journée des Biostatisques, December, 2024, Paris, France - 20 minutes talk

• Marie-Félicia Beclin, Pierre Lafaye de Micheaux, Nicolas Molinari,Regression Models for Quantile Function Data Applied to CT-Scans of Asthmatic Patients, Journée des Statisitiques, May, 2024, Paris, Portugal- 20 minutes talk

• Marie-Félicia Beclin, Pierre Lafaye de Micheaux, Nicolas Molinari, Regression Models for Quantile Function Data Applied to CT-Scans of Asthmatic Patients, IMS International Conference on Statistics and Data Science, December 18-21, 2023, Lisbon, Portugal- 20 minutes talk

• Marie-Félicia Beclin, Pierre Lafaye de Micheaux, Nicolas Molinari, Regression Models for Quantile Function Data Applied to CT-Scans of Asthmatic Patients, Séminaire statistique IMAG , Decembre 2023

• Marie-Félicia Beclin, Pierre Lafaye de Micheaux, Nicolas Molinari, Regression Models for Quantile Function Data Applied to CT-Scans of Asthmatic Patients, Seminaire IDESP,December 2023

• Marie-Félicia Beclin, Pierre Lafaye de Micheaux, Nicolas Molinari, Using Quantile Regression to Predict and Quantify some Treatment’s Response from Medical Images, Conférence IA et Santé, Nantes, 2022

Publication

Submitted

Arnaud Bourdin, Marie Felicia Beclin, Pascal Chanez, Isabelle Vachier, Laurie Pahus, Erika Nogue, Sarah Skinner, Zakaria Lahmar, Mathilde Volpato, Joana Da-Silva Pissarra, Pierre Lafaye de Micheaux, Sebastien Bommart, Nicolas Molinari Predicting clinical response to benralizumab using computed tomography: Prognostic BenraliScan study, Chest

Tran Trong Khoi Le, Marie-Félicia Béclin, Sivem Afach, and Tat Thang Vo. Transportability of aggregate trial results to an external environment in causally interpretable meta-analysis, Journal of the Royal Statistical Society - Serie A

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 (Introduction and prerequisites Regressions , Tests , Intro to trees and RF

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