2027 (planned) Statistiques bayésiennes (3rd year, 30h tutorials). Second semester of 2026–2027, for students of the multidisciplinary higher-education programme (CPES) at the interface of sciences and humanities.
École nationale des chartes - PSL
Fall 2026 Fondamentaux de mathématiques pour la Data Science (M2, 15h). Course in the Master in Digital Humanities, continuing the M1 course: elements of analysis (representation, distances, dimension reduction), optimisation, inferential statistics.
Fall 2025, Fall 2026 Fondamentaux de mathématiques (M1, 20h in 2025, 15h in 2026). Refresher course for master’s students in digital humanities: logic, analysis, linear algebra, introduction to probability. Course lead (under the supervision of Chahan Vidal-Gorène for the master). Link to the PDF (in French)
Université de Franche-Comté
2022 Chaînes de Markov et statistiques bayésiennes (5th year). 3h intervention on MCMC algorithms, in the course of Clément Dombry.
Grenoble INP - Ensimag
2022 4MMMPA Modèles probabilistes pour l’apprentissage (4th year). 4h intervention on MCMC algorithms, in the course of Julyan Arbel (Slides)
Université Grenoble Alpes
2020 STA301 Méthodes statistiques pour la biologie (3rd year, 45h). Lectures and tutorials for biology undergraduates (course lead: Clémentine Prieur).
Polytechnique Montréal
2019 INF8111 Data Mining (4th year, Course site). Teaching assistant (course lead: Daniel Aloise): design, supervision and correction of 2 practical sessions (out of 3 given this session).