Teaching

From 2018 to 2022, I taught undergraduate and Master's students at the University of Marseille. Since 2023, I have been teaching students from bachelor's degree to Machine Learning Data Mining (MLDM) master's degree.

  • 2023-2025
    • Introduction to Python
    • Imperative programming
    • Advanced Machine Learning (kernel methods)

  • 2022-2023
    • Introduction to data science
    • Data science and Machine Learning
    • Python 1, 2 and 3
    • Introduction to computer science
    • Excel
    • SQL
    • Graph algorithms
    • Computability and complexity

  • 2021-2022
    • Introduction to data science
    • Data science and Machine Learning
    • Python 1 and 2
    • Introduction to computer science
    • Excel
    • SQL
    • Graph algorithms
    • computability and complexity

  • 2020-2021
    • Introduction to data science
    • Data science and Machine Learning
    • Python

  • 2019-2020
    • Introduction to data science
    • Data science and Machine Learning

  • 2018-2019
    • Introduction to programming
    • Programming project


Phd and interns supervision

I am also involved in the supervision of interns and Phd students.

    Interns

      • Hind Atbir: PAC-Bayesian Fair Learning (Feb-July 2024, co-supervised with E. Morvant, G. Metzler and P. Viallard)
      • Valentin Rieu: Analysis of Physics Informed Machine Learning models with Complexity Mesures - A Neural Tangent Kernel view (April-July 2024, co-supervised with A. Habrard, R. Eyraud)

    Phd students

      • Hind Atbir: Learning fair and robust kernel-based models with generalization guarantees (from October 2024, co-supervised with R. Eyraud and E. Morvant)