Sylvain Chevallier is a University Professor at LISN-CNRS (Université Paris-Saclay) and head of the AO team, a joint team with Inria, dedicated to machine learning and stochastic optimization. His work focuses mainly on time series analysis and optimization on manifolds. Committed to open science, he develops and maintains several reproducible research tools, including MOABB, PyRiemann, and contributes to Codabench/Codalab and Geomstats. He also chairs Cortico, the French academic association dedicated to brain-machine interfaces.