Marie Bourlioux

Conference resumes & poster

• Bourlioux M., Grollemund P.M., Arous C., Geneste A., Grizon A. Méthodes statistiques et de deep learning pour la discrimination de spectres de masse MALDI-TOF. JdS 2026. abstract
• Bourlioux M., Grollemund P.M., Arous C., Geneste A., Grizon A. Microorganisms identification at strain-level: statistical and deep learning methods for analysis of Biotyper MALDI-TOF mass spectra. CBL 2026. abstract
• Bourlioux M., Grollemund P.M., Arous C., Geneste A., Grizon A. Microorganisms identification at strain-level: statistical and deep learning methods for analysis of Biotyper MALDI-TOF mass spectra. Microbiomes Solutions Symposium 2025. poster
• Michel E., Bourlioux M., Poix C., Grollemund P.M., Theil S., et al. A database to predict safety risks of raw milk cheeses from farming practices in climate change context. JOBIM 2025. poster abstract

Experiences

Master 2 internship: Analysis and discrimination of MALDI-TOF mass spectra for microorganisms identification at strain-level
IUT of Aurillac • March 2025 - August 2025 (6 months)

• Functional data analysis using basis function expansions or wavelet decompositions
• Neural networks architecture designed for functional data



Master 1 internship in biostatistics
Unité Mixte de Recherche sur le Fromage (UMRF) • April 2024 - July 2024 (4 months)

• Integration of statistical method and new features into an application for metabarcoding data processing using R-Shiny programming
• Production of an Entity-Relationship diagram for the design of a database

Education

Master's degree in Applied Mathematics, Statistics
University Clermont Auvergne, Clermont-Ferrand • 2025

• Statistics and Data Processing specialisation



Bachelor's degree in Mathematics
University Clermont Auvergne, Clermont-Ferrand • 2023

Courses taught

Courses taught at IUT of Aurillac to students from BUT of Data Science.

• CV (fr)
• CV (en)