Teaching

2021–2022:

• Statistical learning theory, Master 2 Data Science, École polytechnique & ENSAE 3A.

• Théorie des probabilités, 2e année directe, ENSAE.

2020–2021:

• Statistical learning theory, Master 2 Data Science, École polytechnique & ENSAE 3A.

• Théorie des probabilités, 2e année directe, ENSAE.

2018–2019:

• Teaching assistant, Python for Probability (MAP 311-312), 1A, École polytechnique.

• Teaching assistant, Statistics (MAP 433), 2A, École polytechnique.

• Teaching assistant, Machine Learning: from theory to practice, Master 2 Data Science, École polytechnique.

• Teaching assistant, Probability Refresher (MAP 534), Msc “Data Science for Business”, Polytechnique-HEC.

2017–2018:

• Teaching assistant, Python for Probability (MAP 311-312), 1A, École polytechnique.

• Teaching assistant, Statistics in Action with R (MAP 546), Msc “Data Science for Business”, Polytechnique-HEC.

• Teaching assistant, Machine Learning: from theory to practice, Master 2 Data Science, École polytechnique.

• Teaching assistant, Statistics (MAP 433), 2A, École polytechnique.

2016–2017:

• Statistical inference, 2A (MAP 433), École polytechnique: contributed to the lecture notes (with Gersende Fort, Matthieu Lerasle and Éric Moulines).

• Teaching assistant, Optimization for Data Science, Master 2 Data Science, École polytechnique.