Teaching activities

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Course materials repository

Work in progress… At the moment, all my current materials can be found on moodle.

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Teaching activities at Université Paris Cité

Machine Learning I – Data Analysis

M1 – Master Ingénierie, Mathématique et Biostatistique (Université Paris Cité)
2024–2026 · Lectures, tutorials and practical sessions

Introduction to machine learning methods for high-dimensional data analysis.
Topics include supervised and unsupervised learning methods, model evaluation, and implementation using statistical software.

Statistics for Genetics and Genomics

M1 – Master Ingénierie, Mathématique et Biostatistique (Université Paris Cité)
2024–2026 · Lectures, tutorials and practical sessions

Course introducing statistical methods for the analysis of genetic and genomic data, including association studies, population structure and statistical modelling of genomic data.

EM Algorithm: a case study

M1 – Master Ingénierie, Mathématique et Biostatistique (Université Paris Cité)
2022–2026 · Lectures, tutorials and practical sessions

Applied course on the Expectation–Maximization algorithm, focusing on mixture models, latent variable models and practical implementation in statistical software.

Mathematics and Calculus I

L1 – Licence Mathématiques et Applications (Université Paris Cité)
2024–2026 · Tutorials

Tutorial sessions covering fundamental concepts in calculus and mathematical analysis for first-year undergraduate students.

Mathematics Refresher Course

L1 – Licence Mathématiques et Applications (Université Paris Cité)
2024–2026 · Tutorials

Support course aimed at strengthening mathematical foundations for undergraduate students entering the mathematics programme.

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Previous teaching (2013–2024)

Statistical Genetics

M2 – Masters MSR and SDS (Université Paris-Saclay)
2020–2024 · Lectures

Statistics for Immunology

M2 – Master Biologie Santé (Université Paris-Saclay)
2023–2024 · Lectures

Multivariate Data Analysis

M1 – Masters MIBD and MSID (Université de Pau et des Pays de l’Adour)
2021–2023 · Lectures and practical sessions

Introduction to Machine Learning

M1 – Masters MIBD and MSID (Université de Pau et des Pays de l’Adour)
2020–2022 · Lectures and practical sessions

Statistics and Classification (e-learning)

M2 – Master Research and Innovation in Healthcare (RIS), Université Paris 13
2019 · Online teaching

Probability and Statistics

L1–L2 – Life Sciences programmes, Université Paris Diderot
2013–2016 · Tutorials

Statistics with R

L3 – Life Sciences programmes, Université Paris Diderot
2013–2016 · Tutorials and practical sessions

Python Programming

L2 / M1 – Life Sciences programmes, Université Paris Diderot
2013–2016 · Lectures and practical sessions