In the last decades, there has been an increasing interest in improving the mathematical description of real-world systems by taking into account the often partial knowledge or the intrinsic stochasticity of the processes under study. Accordingly, this interest has paved the way to the development of rich mathematical theories and suitable numerical algorithms to ease the computational burden associated to the simulation of such models.

The Numerical Methods for Random Differential Models 2024 (NUMRAD24) summer school, which will take place on the EPFL Lausanne campus from June 11th to June 14th, aims to present a selection of recent developments in the area of numerical approximation of random differential models. Each day is devoted to one topic respectively, with every day’s first lecture consisting of an introductory course about the topic of the day, presented by a key researcher in that domain. The courses aim at Master and PhD students, but all researchers are welcome.

Note that participation is free, yet registration is mandatory (limited space available). Registration is open here. Furthermore, registration before 1st of March makes you eligible for financial support. We can cover the accommodation fees for a limited number of participants.

Organising committee

  • Matteo Raviola, EPFL
  • Thomas Trigo Trindade, EPFL
  • Tommaso Vanzan, Politecnico di Torino
  • Fabio Zoccolan, EPFL


This event is sponsored by CSQI and EMS.