2017- present — OpenClassrooms
Mentor (1 hour a week per student) on the data scientist and machine learning engineer paths.
Also consultant in the v2 refactor of those paths (selection of datasets for projects, redaction of project guidelines, redaction of evaluation guidelines for instructors).
2017-2019 — Mines ParisTech
2019 - Mines ParisTech - Large Scale Machine Learning
Teaching assistant for LSML, an intensive 5-day course organized for PSL students.
[course website] [practical sessions]
2018 - Mines ParisTech - ES Apprentissage artificiel
Intervention sur la thématique Apprentissage statistique en Bio-Informatique, Régularisation, SVMs.
[slides] [tutorial],
co-écrit avec Chloé Azencott et Benoit Playe.
2018 - Mines ParisTech - Large Scale Machine Learning
Teaching assistant for LSML, an intensive 5-day course organized for PSL students.
[course website] [practical sessions]
2017 - Mines ParisTech - ES Apprentissage artificiel
L'énoncé du TP (jupyter notebook) peut être téléchargé ici. co-écrit avec Chloé Azencott et Benoit Playe.
2014-2016 — Lycée Henri IV
BCPST1
Teaching assistant for Introduction to programming in Python for first year BCPST (Biology, Chemistry, Physics and Earth Sciences) students, 2 hours a week. Preparation of exercises, and practical sessions. Contents cover variables, conditions, functions, loops, basic data structures (lists, arrays), file I/O.
BCPST2
Teaching assistant for a 6-month programming project, 2 hours a week. Preparation of project proposals, and practical sessions.
Examples of projects: "shortest path in the Parisian subway using Dijkstra's algorithm", "chaos game theory to represent DNA sequences", "detection and counting of objects in a binary image".