I will be assistant professor at Universitat Pompeu Fabra in Barcelona starting the 1st April 2024. I am currently a postdoctoral researcher at University of Luxembourg, supervised by Prof. Mark Podolskij.
In July 2020 I defended my PhD thesis which I worked on under the supervision of Prof. Arnaud Gloter at LaMME, Université Paris-Saclay. 
My main research area is statistical inference for stochastic differential equations. I am particularly interested in McKean-Vlasov equations, local differential privacy and Stein's method.

Christophe Ley is Associate Professor of Applied Statistics at the Department of Mathematics of the University of Luxembourg. He is President of the European Association for Advanced Statistics Courses, President of the Luxembourg Statistical Society, and initiator of the international network “Sports - Training and Research in Data Science Methods for Analytics and Injury Prevention Group”. He is a recipient of the Marie-Jeanne Laurent-Duhamel Prize of the Société Française de Statistique and associate editor for the journals Annals of the Institute of Statistical Mathematics, Econometrics and Statistics, and Statistique et Société.

Raphael Mignot is a Phd student at University of Lorraine (Nancy, France) under the supervision of Pr. Marianne Clausel and Pr. Konstantin Usevich. His main interests are statistical learning and multivariate time series analysis. He is working on the uses of the so-called iterated integrals signature transform, a tool from Rough Paths analysis, for Machine Learning tasks.

Pascal Moyal is Full Professor at IECL in Nancy. He is chair of the Probability and Statistics research team of IECL.
His research interests include the study of stochastic processes (measure-valued processes, weak limits and ergodic theorems) and discrete structures (graphs, random graphs and hypergraphs), with applications to Stochastic networks, Queueing theory, Healthcare modelling and Epidemiology. 

Krzysztof Smutek is a PhD student at the University of Luxembourg, under the supervision of Professor Giovanni Peccati. His primary research interests lie in probability theory and its applications to physics. He is currently focused on problems in stochastic geometry, specifically studying the geometric properties of random eigenfunctions associated with the Laplace-Beltrami operator. This research is motivated by its relevance to issues arising in the field of Quantum Chaos.

Third year PhD student at Université de Lorraine and INRIA Grand Est, working at Institut Elie Cartan de Lorraine in Nancy, under the supervision of Coralie Fritsch and Denis Villemonais. His current research focuses mainly in the interface of probability theory and mathematical models in biology, in particular the study of processes describing the dynamic of populations that can be affected by stochastic factors such as reproduction, mating, mutations or infections, and how these factors influence their asymptotic behavior both in long time and/or in large population settings.