Remi Flamary is Professor at École Polytechnique in the Centre de Mathématiques Appliquées (CMAP). He was previously Associate Professor at Université Cote d’Azur (UCA), 3IA Chair in Artificial Intelligence, and a member of Lagrange Laboratory, Observatoire de la Cote d’Azur. His current research interests include signal, image processing, and machine learning with a recent focus on applications of Optimal Transport theory to machine learning problems such as graph processing and domain adaptation. He is also the co-creator and maintainer of the Python Optimal Transport toolbox (POT).