Teaching
- ENSAE: Information Theory for Machine Learning (2025 – ), Statistics 1 (2022 – ), Apprentissage Statistique Appliqué (2022 - 2025), Business Data Challenge supervision (2022 - ), Séminaire de Modélisation statistique (2022 - ).
- École Polytechnique: Statistiques 2A formation ingénieur, 10 séances de PC (2025 – ).
- Lancaster University: Machine Learning (2016 - 2022), Stor-i Probability & Stochastic Processes (2019), Financial Stochastic Processes (2015 - 2018, 2020 - 2022), Project Skills (2015 - 2022), MSc/MSci Supervision (2015 - 2022)