Teaching
I teach graduate-level courses in statistical machine learning and kernel methods.
From Basic Machine Learning Models to Advanced Kernel Learning
2026–2027 · Course website
Université Grenoble Alpes, Grenoble. Co-taught with Julien Mairal and Scott Pesme.
An introduction to machine learning, from supervised-learning foundations to advanced kernel methods. The course covers regression, classification, clustering, dimension reduction, and the theoretical and practical foundations of kernels.
Machine Learning with Kernel Methods
Spring 2026 · Course website
Joint IASD, MVA, and MASH master’s course, Dauphine–PSL / ENS Paris-Saclay. Co-taught with Julien Mairal and Jean-Philippe Vert.
The mathematical foundations and design of kernel methods, including positive-definite kernels, reproducing-kernel Hilbert spaces, kernel PCA, support vector machines, and kernels for structured data.