Nicolas VAYATIS - Homepage

Nicolas Vayatis

Professor, ELLIS Fellow (Paris unit)

Centre Borelli
& DER de Mathématiques

Ecole normale supérieure Paris-Saclay
4, avenue des Sciences
91190 Gif-sur-Yvette

Email : nicolas [dot] vayatis (at) ens-paris-saclay[dot] fr

Research interests: theoretical foundations of machine learning, applications to healthcare and industry

Publications: Google Scholar, Semantic Scholar, DBLP

Training programs: Master M2 MVA, normaliens DER mathématiques, AI track

Media : Data Analytics Post

Teaching

ENS Paris-Saclay

Master MVA / Introduction to Statistical Learning
Master MVA / Responsible Machine Learning
Diplôme ARIA / Fondements de l’Intelligence Artificielle et du Machine Learning

Université Paris-Saclay

Master CHPS / Introduction à la science des données et à l'apprentissage

INSEAD

PhD program / Foundations of Machine Learning and Artificial Intelligence

CV (français)

We welcome applications with ELLIS PhD Program
Looking for an internship, PhD or postdoc position: <mlmda-jobs (at) cmla [dot] ens-cachan [dot] fr>

Past students : Theo Saillant, Myrto Limnios, Mounir Atiq, Batiste Le Bars, Pierre Humbert, Mathilde Fekom, Ludovic Minvielle, Charles Truong, Thomas Moreau, Cédric Malherbe, Kevin Scaman, Steven Masfaraud, Rémi Lemonnier, Emile Contal, Pierre-André Savalle, Antoine Dematteo, Ruocong Zhang, Themis Stefanakis, Emile Richard, Nicolas Mahler, Joseph Defretin, Karim Lounici, Mohamed Hebiri.