I am extremely enthusiastic about teaching and extremely lucky to work with exceptional students — from the core Polytechnique curriculum to MSc and Executive programs at Institut Polytechnique de Paris. Course materials available on request.
Current
2021–present
Collaborative and Reliable Learning (MAP 578)
3rd year (M1 level), École Polytechnique.
Federated learning, differential privacy, robustness.
Co-taught with El Mahdi El Mhamdi.
2019–present
Statistics (MAP 433)
2nd year (L3 level), École Polytechnique.
Estimation, testing, regression, Bayesian methods.
With E. Moulines, G. Fort, M. Lerasle, S. Gadat.
2019–present
Generalization Properties of Learning Algorithms
M2 Data Science, IP Paris.
PAC learning, Rademacher complexity, uniform convergence, kernel methods.
2019–present
Optimization and Deep Learning
M2 Data Science for Business, École Polytechnique.
Gradient methods, stochastic optimization, neural networks.
With E. Scornet.
2019–2022
Statistics for Data Science
M2 Data Science for Business, École Polytechnique.
Previous
2018–2019
Probabilities and Statistics (MAP 361)
1st year (L3 level), École Polytechnique.
2016–2017
Statistics (31NU02MS)
Teaching assistant, Master 1, Université Paris Diderot.
2016–2017
Fundamental Statistics (ULMT42)
Teaching assistant, Master 1, Université Paris Diderot.
2015–2016
Calculus (MM1)
Teaching assistant, Université Paris Diderot.
2014–2015
Linear Algebra (MM1)
Teaching assistant, Université Paris Diderot.
2010–2014
Oral interrogations
Classes préparatoires (PC, MP*).
Summer schools and intensive courses
Jul 2025
Conformal Prediction and Uncertainty Quantification