Teaching

Current teaching (ENS de Lyon)

• Bases pour l’analyse de données et d’images

  L3 Sciences de la Matière · Lectures and tutorials

  Introduction to the analysis of experimental data, including signals and images. Topics covered include the study of analog signals (Fourier transform, filtering) and digital signals (sampling), image processing, random signal processing, and optimal filtering. The course includes traditional tutorials and digital implementations.

• Physique expérimentale

  L3 Sciences de la Matière · Practical classes

  Experimental acquisition and processing of physical measurements. Students use signal-conditioning and spectral-analysis techniques to study velocity fluctuations in a turbulent flow.

• Machine Learning in Physics and Chemistry

  M1 Sciences de la Matière · Lectures and computer labs

  Fundamental machine-learning methods for physical and chemical data: dimensionality reduction, clustering, classification and regression. Numerical exercises are implemented in Python using real-world datasets.

• Traitement du signal et incertitudes

  M2 · Preparation for the physics agrégation · Lectures

  Frequency-domain analysis of experimental signals and estimation of measurement uncertainties. The course connects signal-processing concepts with laboratory practice.

• Data Processing and Modelling

  M2 Systèmes Complexes · Lectures and computer labs

  Statistical data analysis and blind source separation, including independent component analysis (ICA) and non-negative matrix factorization (NMF). Applications are explored through numerical exercises in Python.

Previous teaching

ENS de Lyon

• Electromagnetism for the physics agrégation

  M2 · Practical classes · 2021

  Laboratory work in electromagnetism and electronics, supporting preparation for the practical examinations.

• Traitement du signal

  M1 Sciences de la Matière · Lectures and practical classes · 2021–2022

  Core tools for representing and analysing signals, including time-frequency representations.

• Outils mathématiques / Méthodes mathématiques

  L3 Sciences de la Matière · Tutorials · 2021–2025

  Mathematical foundations for physics, including Fourier transforms, distributions and complex analysis.

• Outils de traitement du signal

  L3 Sciences de la Matière · Lectures and tutorials · 2021–2022

  Introduction to signal and image processing, combining methodological foundations with guided exercises.

Aix-Marseille Université

• Probabilités et statistiques

  L2 Mathematics · Tutorials and practical classes · 2019

  Exercises in probability and statistical inference, developing tools to model and analyse random phenomena.

• Mathématiques pour les signaux et les images

  M1 Signal and Image Processing · Lectures and practical classes · 2019

  Mathematical methods for signal and image analysis, linking theoretical concepts with numerical applications.

• Statistiques avancées

  M2 STAPS · Lectures and tutorials · 2019

  Statistical techniques for the analysis and interpretation of quantitative data (e.g., PCA).

• Séries et applications

  L2 Engineering Sciences · Tutorials and practical classes · 2017–2018

  Mathematical series and their applications.

IUT de Clermont-Ferrand

• Électromagnétisme

  DUT Mesures Physiques (second year) · Tutorials and practical classes

  Fundamentals of electromagnetism.