Numerical Methods for Random Differential Models - June 11th to June 14th 2024


Event details

Date 11.06.2024 14.06.2024
Speaker Harbir AntilGeorge Mason University, USA. Albert CohenSorbonne Université, France. Caroline GeiersbachWeierstrass Institute, Germany. Siddhartha MishraETH Zürich, Switzerland. Fabio NobileEPF Lausanne, Switzerland. Michela OttobreHeriot Watt University, United Kingdom. Thomas M. SurowiecSimula Research Laboratory, Norway. Aretha TeckentrupUniversity of Edinburgh, United Kingdom. Raúl TemponeKAUST, Saudi Arabia, and RWTH Aachen, Germany. Gilles VilmartUniversité de Genève, Switzerland. Jakob ZechHeidelberg University, Germany.
Category Conferences - Seminars
Event Language English

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. For more information, you can visit the attached link.

Note that participation is free, yet registration is mandatory (limited space available, deadline 31st March). Registration is open here


  • Random Partial Differential Equations
  • Stochastic Differential Equations
  • Optimization under Uncertainty
  • Scientific Machine Learning
This event is sponsored by CSQI Lab and EMS (European Mathematical Society).

Practical information

  • General public
  • Registration required


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


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