My colleague Pierre Ablin and I have created a repository with some Python advice for our students:

Classes taught

During my PhD, I was a TA for the following courses:

  • Optimization for datascience (M2 level, 40 h in 2017 and 2018)

  • Analysis (MDI 113) and Probabilities (MDI 114)

  • Machine Learning and Data Mining (MDI 343)

  • Linear Models (SD 204)

  • Practical Machine Learning (SD 207)

  • Tools and applications for signals and images (SI 101)