Hi ! Welcome to my page.
Marie-Félicia Beclin
I am 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
Talks and Présentation
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
-On-going
Teaching
Université de Montpellier
- 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