Teaching & Pedagogical Projects

Lectures

Introduction to Mathematical Modeling through an Epidemiological Challenge - 2024 - 2026

In this course, offered to undergraduate students at CentraleSupélec and McGill, we explore the foundations of mathematical modeling in the context of epidemiology. After an introductory session and a hands-on workshop on SIR models, students participate in a one-day mini-project analyzing a specific disease. The highlight of the course is a week-long challenge where teams are tasked with modeling a fictional epidemic using compartmental models. They must make predictions about its spread and propose intervention strategies based on their analyses.

Mathematical Modeling for Cancer – Institut Gustave Roussy - 2024/25, 2025/26

As a lecturer for the University Diploma (DU) in Applied Mathematics for Cancer at the Institut Gustave Roussy, I lead a session focused on introducing students to mathematical modeling. After a refresher in fundamental mathematics, the session explores the application of modeling techniques with a particular emphasis on blood cancers, providing students with tools to analyze disease progression and treatment strategies.

Teaching assistant:

Modelling (First-year student) - Ecole CentraleSupélec (2022)
Modelling and Numerical Methods for Life Sciences (Final-year student) - Ecole CentraleSupélec (2019, 2020, 2022- 2024, 2025)
Epidemiology (First-year student) - Ecole CentraleSupélec (2020 and 2021)
Statistics and Machine Learning - Ecole CentraleSupélec (2025)

Educational and pedagogical projects

Mastère Spécialisé "Santé Numérique" (Digital Health) - Launching September 2026

The Mastère Spécialisé® Santé Numérique (Digital Health), accredited by the Conférence des Grandes Écoles, will open in September 2026.

Program website: https://exed.centralesupelec.fr/formation/mastere-specialise-sante-numerique/

I serve as Scientific Director of the program.

The objective of the MS is to train professionals capable of navigating the full spectrum of digital health:

health data acquisition and governance
biostatistics and statistical learning
mechanistic and multiscale modeling
artificial intelligence and deep learning
regulatory, ethical, and health-system dimensions

The program is designed primarily for continuing education and aims to bridge clinicians, engineers, data scientists, and decision-makers. It combines theoretical foundations with applied projects and interaction with industrial and hospital partners.

Coordination of Team-Based Research Projects in Mathematical Modeling

At CentraleSupélec, first- and second-year students participate in year-long team research projects.

Since 2019, I co-coordinate the project cluster “Mathematical Modeling of Complex Systems.”

Each year, we have 80 students over 15 different research topics.

Responsibilities include:

defining and structuring project topics
recruiting and supervising project advisors
assigning students to projects
organizing mid-term and final oral defenses
overseeing written reports
training students in scientific writing and peer-review methodology

Special collective events previously organized for all students:

One day challenge on COVID19 modelisations - 10 April 2020
Bibliographic competition - 9 April 2021
- Goal: summarising and vulgarising a scientific article
- Here and here are two examples of work (in French)
Bibliographic competition - 10 May 2022

Organization of a Research Discovery Internship for High School Students

Since 2024, I coordinated a two-week research discovery internship at the MICS laboratory for 20 high school pupils, in collaboration with the Centre for Diversity and Inclusion at CentraleSupélec. This program offered students an introduction to the school’s research labs, with a special focus on the MICS mathematics lab. Over the course of two weeks, students worked on a project exploring the use of mathematics and computer science for epidemic modeling.

Page updated

Google Sites

Report abuse