Teaching

INSEA

• Statistiques Bayésiennes (2025)

École Polytechnique

• Python for data science (Master DS for business X/HEC 2021)
• Statistical learning theory (Master data science 2022, 2023)
• Optimization algorithms for machine learning (Master data science 2023)

New York University - (Paris)

• Introduction to machine learning (2022, 2023)

Télécom Paris

• Advanced Statistics (Cycle ingénieur 2022, 2023, 2024)
• Numerical calculus and Monte-Carlo methods (Cycle ingénieur 2022, 2023, 2024)
• Advanced machine learning (Master spécialisé Big Data AI 2022, 2023)
• Introduction to Machine learning (Executive education 2022, 2023, 2024)

ENSAE / Sorbonne Université [Teaching assistant during PhD]

• Optimisation différentiable (2017, 2018, 2019) - ENSAE 1A
• Probability theory (2018) - ENSAE 1A
• Monte-Carlo methods (2017, 2018, 2019) - ENSAE 2A
• Programmation en C - La Sorbonne Université (2017)