Faculty

Rémi Flamary is a Professor at Ecole Polytechnique in the Centre de Mathématiques Appliquées (CMAP) and holder of a Hi! PARIS Chair. He was previously Associate Professor at Université Côte d’Azur (UCA) and a member of the Lagrange Laboratory, Observatoire de la Côte d’Azur, as well as holder of a Chair in Artificial Intelligence from 3IA Côte d'Azur.He received a Dipl.-Ing. in Electrical Engineering and an M.S. degree in Image Processing from the Institut National des Sciences Appliquées de Lyon in 2008, a Ph.D. degree from the University of Rouen in 2011, and a habilitation to direct research (HDR) from Université Côte d'Azur in 2019.His current research interests include signal and 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.

Michalis Vazirgiannis is a Distinguished Professor at École Polytechnique in France, specializing in data science and artificial intelligence. His research spans machine and deep learning applied to graphs, text, time series, and multilingual NLP, with recent work focused on multimodal large language models and biomedical applications. He also leads major contributions in graph machine learning and graph generative AI, particularly on Graph Neural Networks. His work has had significant industrial impact across sectors such as web advertising, social networks, insurance, aviation, and biomedical technologies. He has published more than 250 papers in top-tier conferences and journals, taught AI and machine learning internationally, and supervised 35 PhD theses. He has secured major research funding from national agencies and industry leaders including Google, Airbus, and Huawei, and has led several academic and industrial research chairs. His distinctions include a Marie Curie Fellowship, the Tencent Rhino-Bird Award, and multiple best paper awards.