9-13 September 2024: Statistical and Probabilistic Analysis of Random Networks and Processes

Organised jointly by the Université Côte d’Azur and the University of Luxembourg, the conference “Statistical and Probabilistic Analysis of Random Networks and Processes” will focus on statistical and probabilistic analysis of random networks, stochastic processes and deep neuronal networks. It is funded by the ERC Consolidator Grant STAMFORD: Statistical Methods for High Dimensional Diffusions.


  • Chiara Amorino (UPF Barcelona)
  • Juntong Chen (University of Twente)
  • Christa Cuchiero (University of Vienna)
  • Yohann de Castro (INRIA France)
  • Alain Durmus (Ecole Polytechnique, Paris)
  • Chao Gao (University of Chicago)
  • Julia Gaudio (Northwestern University)
  • Elisabeth Gassiat (Orsay Paris)
  • Sophie Langer (University of Twente)
  • Nicolas Lengert (University of Luxembourg)
  • Eric Luçon (Université Paris Cité)
  • Jean Christophe Mourrat (ENS Lyon)
  • Ivan Nourdin (University of Luxembourg)
  • Gabriel Peyré (ENS Paris)
  • Patricia Reynaud-Bouret (Université Côte d’Azur)
  • Radomyra Shevchenko (Université Côte d’Azur)
  • Mathias Trabs (KIT Karlsruhe)
  • Remco van der Hofstad (Eindhoven University)
  • Samuel Vaiter (Université Côte d’Azur)
  • Yihong Wu (Yale University)
  • Jianming Xu (Duke University)


The conference will take place in Nice, at the Laboratoire Jean Alexandre Dieudonné (Campus Sciences, Parc Valrose, 28 avenue Valrose, 06108 Nice Cedex 02, France)


Registration is free, but the number of participants is limited. If you would like to attend the conference, please register via stamford@uni.lu

Additionally, a limited amount of financial support is available.


Yannick Baraud, François Delarue, Elena Di Bernardino, Thierry Goudon, Luc Lehéricy and Mark Podolskij