Skip to main content

Virtual Seminar Series

Stochastic Numerics and Inverse Problems (SNIP)

From January 2026 the One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems (SNIP) will become the main seminar of COST Action STOCHASTICA. Seminars will be held online and recordings made available on this page after the event has been held. 

An archive of previous seminars and recordings held up to December 2025 may be found here >>

Seminars are held from 2-3pm (Ireland time) on alternating Wednesday's from January 14 - April 15.

When available, full details of each seminar including the abstract and a video of the talk can be accessed by clicking the "More" button below.

Date Title Description More info
14 Jan 2026 Charles-Edouard Bréhier, Université de Pau et des Pays de l'Adour. Numerical approximation of invariant distributions for SPDEs /en/stochastica/virtualseminarseries/seminar-1-stochastica-launch.html
28 Jan 2026 Ana Djurdjevac, University of Oxford. The Dean–Kawasaki Equation: Analysis, Numerics, and Applications /en/stochastica/virtualseminarseries/seminar-2.html
11 Feb 2026 Annika Lang, Chalmers University of Technology & University of Gothenburg. Random fields and stochastic partial differential equations on hypersurfaces /en/stochastica/virtualseminarseries/seminar-3.html
25 Feb 2026 Paul Bressloff, Imperial College London. Title and abstract forthcoming. https://bressloff.github.io/index.html
11 Mar 2026 Jasper van Wezel, University of Amsterdam. Title and abstract forthcoming. https://www.jvanwezel.com
25 Mar 2026 Mikhail Tretyakov, University of Nottingham. Title and abstract forthcoming. https://www.nottingham.ac.uk/mathematics/people/michael.tretyakov
8 Apr 2026 Benjamin Gess, Technische Universität Berlin & Max Planck Institute for Mathematics in the Sciences. Title and abstract forthcoming. https://www.bgess.de
15 Apr 2026 Randolf Altmeyer, Imperial College London. Title and abstract forthcoming. https://randolfaltmeyer.weebly.com

STOCHASTICA

CA24104 - Stochastic Differential Equations: Computation, Inference, Applications

Contact us

Connect with us

Top