I teach and have taught courses and tutorials at Ecole Polytechnique and at international schools. See the sub-pages for more details.
Computational & ML methods for Quantum Physics — A 3rd-year/Master 1 course at Ecole Polytechnique covering Exact Diagonalization, Tensor Networks, Neural Quantum States, and ML-accelerated Molecular Dynamics.
PSC / PRL student projects — I supervise 2nd-year (PSC) and 3rd-year (PRL) research projects for Ecole Polytechnique students on topics related to my research in quantum many-body physics and machine learning.
ML for Variational Monte Carlo — Video lecture series from ICTP (2023) on Machine Learning applications in Variational Monte Carlo, including stochastic optimisation, natural gradient methods, and the NetKet framework.