Erwan Le Pennec has been a professor in the Applied Mathematics Department at École Polytechnique since September 2013. His research is carried out at the Centre de Mathématiques Appliquées (CMAP).
He works on data-related problems in signal processing, statistics and learning, with a taste for applications.
He is co-director with Emmanuel Gobet of the SIMPAS (Signal IMage Probabibilités numériques et Apprentissage Statistique) team, and is involved in a number of training programs run by the school: MSc&T Data Science for Business and the Data Science Starter Program of Polytechnique Executive Education.
Aymeric Dieuleveut received his Ph.D. degree in mathematical statistics from École Normale Supérieure de Paris (Ulm), France, in 2017, after obtaining his MSc degree in mathematics from École Normale Supérieure de Paris in 2014.
From 2017 to 2019, he was a Research Scientist at École Polytechnique Fédérale de Lausanne. In 2019, he became Assistant Professor at École Polytechnique, Paris, France, and was named Professor in 2023.
His research topics cover high dimensional statistics, stochastic optimization, statistical machine learning, and Federate Learning. He has been working both on fundamental topics, covering algorithm design, providing theoretical guarantees and novel approaches, and on more applied topics, including collaborations with industrial partners (EDF, Owkin).
Marie-Paule Cani is a professor of computer science at École Polytechnique. A graduate of École Normale Supérieure who became an assistant professor in 1991, she was a professor at Grenoble-INP (Ensimag) from 1997 to 2017. Former chair of the computer science department of Ecole Polytechnique(DIX), she has been dean of the MScT program since 2023.
A specialist in computer graphics, her research focuses on 3D modeling and animation, with contributions to implicit surfaces, interactive natural phenomena, and character animation. She has recently explored expressive ways to generate virtual scenes, by combining intelligent 3D models with gestural interfaces. Elected to the French Academy of Sciences in 2019, she received the Eurographics Distinguished Career Award in 2022 and the Steven Anson Coons Award from the ACM Siggraph in 2023.
Johannes Lutzeyer is an Assistant Professor in the Data Science and Mining Team at the Computer Science Department of École Polytechnique. Previously, he completed a 2.5 year postdoc, under the supervision of Prof. Michalis Vazirgiannis, at École Polytechnique and a PhD thesis under the supervision of Prof. Andrew Walden in the Department of Mathematics at Imperial College London.
Johannes' current research focuses on Graph Neural Networks. As such, he works in the area of Graph Representation Learning in the intersection of Statistics and Computer Science.
PERIOD 1
Michalis Vazirgiannis | Machine Learning I
Email: mvazirg@lix.polytechnique.fr
Website
Renaud Keriven | Image analysis
Ecole Polytechnique & Bentley systems
Renaud.Keriven@bentley.com
Website
Maks Ovsjanikov | Digital Representation and Analysis of Shapes
Ecole Polytechnique
maks@lix.polytechnique.fr
Website
Luca Castelli Aleardi | Digital Representation and Analysis of Shapes
Ecole Polytechnique
amturing@lix.polytechnique.fr
Website
Olivier Rioul | Signal and sound processing
Telecom ParisTech
olivier.rioul@telecom-paristech.fr
Website
François Fages | Algorithms for decision making
francois.fages@inria.fr
Website
Sylvain Soliman | Algorithms for decision making
sylvain.soliman@inria.fr
Website
PERIOD 2
Damien Rohmer | Computer animation
Ecole Polytechnique, drohmer@lix.polytechnique.fr
Website
Luca Castelli Aleardi | Algorithmic geometry: from theory to applications
Ecole Polytechnique, amturing@lix.polytechnique.fr
Tamy Boubekeur | Image synthesis: Theory and practice
tamy.boubekeur@telecom-paristech.fr
Website
Marc Lavielle | Statistics in action
Inria, marc.lavielle@inria.fr
Website
PERIOD 1
Pierre Latouche | Statistical Analysis, Introduction to Machine Learning Techniques
Telecom Paris Tech, Université Paris 1
pierre.latouche@univ-paris1.fr
Website
Pooran Memari | C++ programming, basics of 3D modeling, image synthesis and algorithmic geometry
Ecole Polytechnique, CNRS
memari@lix.polytechnique.fr
Website
Erwan Scornet | Deep Learning
Ecole Polytechnique
erwan.scornet@polytechnique.edu
Website
Steve Oudot | Data Analysis : Geometry and Topology in Arbitrary Dimensions
Ecole Polytechnique
steve.oudot@inria.fr
Website
Chloé Clavel | Natural language and speech Processing: from knowledge modelling to Machine Learning
chloe.clavel@telecom-paristech.fr
Website
Fabian Suchanek | Natural language and speech Processing: from knowledge modelling to Machine Learning
Telecom ParisTech
suchanek@telecom-paristech.fr
Website
Marie-Paule Cani | Advanced 3D Graphics
Ecole Polytechnique
Website
Damien Rohmer | Advanced 3D Graphics
Ecole Polytechnique
drohmer@lix.polytechnique.fr
Website
Renaud Keriven | Computer Vision
Ecole Polytechnique & Bentley systems
Renaud.Keriven@bentley.com
Website
PERIOD 2
Odalric-Ambrym Maillard | Reinforcement Learning
Inria Lille
odalricambrym.maillard@inria.fr
Website
David Filliat| Navigation for Autonomous systems
Ecole Polytechnique
david.filliat@ensta-paristech.fr
Website
Eric Goubault| Introduction to the verification of neural networks
Ecole Polytechnique
eric.goubault@polytechnique.edu
Website
Sylvie Putot| Introduction to the verification of neural networks
Ecole Polytechnique
sylvie.putot@polytechnique.edu
Website
Catherine Pelachaud| Socio-emotional embodied conversational agents
CNRS - ISIR
catherine.pelachaud@upmc.fr
Website
Christian Duriez | Soft robots: simulation, fabrication, and control
Inria Lille
christian.duriez@inria.fr
Website
Sylvain Lefebvre | Soft robots: simulation, fabrication, and control
Inria Nancy
Sylvain.Lefebvre@inria.fr
Website
Anatole Lecuyer| Immersion and interaction with virtual worlds
Inria
Anatole.Lecuyer@inria.fr
Website