Supervision

PhDs

I am thrilled to be co-supervising the PhD theses of:

A big well done to my former student Julie Keisler who defended her thesis Automated Deep Learning: algorithms and software for energy sustainability on 24 January 2025 (co-supervision with Claire Monteleoni, Sandra Claudel and Gilles Cabriel).

Interships

Teaching

Course list and materials (if you find any typos or errors, please do not hesitate to report them to me).

  • [2023 -          ]  ·  Sorbonne Université  ·   Continuous Optimization, Python Tutorials - Licence 2

  • [2023 -          ]  ·  Sorbonne Université  ·   Supervised research workshop in data science (Kaggle challenge - French electricity mix carbon emissions forecasting) - Licence 1

  • [2021 -          ]  ·  Sorbonne Université, ISUP - ISDS  ·   Sequential statistical learning for time series forecasting - Master 2

  • [2019 - 2022]  ·   ENSAE  ·  Intervention in the statistical modeling seminar and project management - Master 1

  • [2018 - 2021]  ·   ENSAI  ·  Semi-parametric regression models for electric load forecasting - Master 2

  • [2017 - 2019]  ·   Université Paris-Sud  ·  Tutorial on probability and statistics - Licence 2

  • [2017 - 2018]  ·   Université Paris-Sud  ·  Tutorial on probability - Licence 1 (PCSO)