June - July 2024, Supervision of Eloïse Boiron and Clara Bouvier’s bachelor thesis at Califrais, on Apprentissage statistique pour la prédiction de temps de trajet
November 2023 - Mars 2024, Supervision of Yves Abraham internship at Califrais, on Causality and Pricing
May-September 2023, Co-supervision of Sobihan Surendran’s master thesis on Stochastic Optimization with Monte Carlo methods with Sylvain Le Corff and Antoine Godichon-Baggioni
May-July 2021, Co-supervision of Nathan Doumèche’s master thesis on Développement de Taylor signé et applications à l’apprentissage statistique with Gérard Biau and Pierre Marion.
June-July 2020, Co-supervision of Linus Bleistein’s master thesis on SiGANtures: Generating Times Series Using
Wasserstein-Generative Adversarial Nets and the Signature Transform with Gérard Biau and Claire Boyer.
Notions de statistique, spring 2024: introduction to statistics in the Bachelor ACT (bachelor level)
Large-Scale Machine Learning, spring 2023: one introductory session and one session on Natural Language Processing) at Mines ParisTech (master level)
Data Science, spring 2022: a course introducing data science to 1st year engineering students at Mines ParisTech (bachelor level)
Return to graduate studies diploma for exiles, spring 2019-2022 : refresher course on mathematics for continuing education at Sorbonne Université (high school level)
As teaching assistant
Linear models, autumn 2020-2021 : exercise classes introducing linear models to 2nd year ISUP (Institut de Statistique de l’Université de Paris) students (master level)
Inferential Statistics, spring 2020-2021: exercices classes introducing first notions of statistics (tests, parametric estimation…) to 1st year ISUP (Institut de Statistique de l’Université de Paris) students (master level)
Mathematical Statistics, autumn 2019-2020 : computer labs in R to introduce basic notions of statistics to master students in applied mathematics at Sorbonne Université (master level)
