Program

The program is continuously updated. The available sections are listed below.

Copyright: Universität Bielefeld, Pollmeier

Plenary Speakers

Arndt von Haeseler Universität Wien

Nicolas Perkowski 

Freie Universität Berlin

Sections

Sections Chairs Keynote Speakers
1. Foundations of Machine Learning Fanny Yang / Sven Wang Claire Boyer / Université Paris-Saclay
Spatial Stochastics, Disordered Media and Complex Networks Sebastian Andres / Thomas Richthammer David Croydon / Kyoto University
3. Stochastic Analysis, Mean Field Models and S(P)DEs Theresa Lange / Hendrik Weber Máté Gerencsér / TU Wien
4. Branching Processes and Stochastic Models in Biology Fernando Cordero / Stefanie Winkelmann Nicolas Champagnat / Université de Lorraine, INRIA Nancy
5. Stochastic Modelling in Natural Sciences Chiranjib Mukherjee / Stefan Großskinsky Perla Sousi / University of Cambridge
6. Random Matrices, Concentration Inequalities and Large Deviations Torben Krüger / Alessandra Occelli Maria Gordina / University of Connecticut
7. Stochastic Processes - Foundations and Limit Theorems Martin Kolb / Luisa Andreis Sarah Penington / University of Bath
8. Finance, Risk and Insurance An Chen / Johannes Muhle-Karbe Min Dai / The Hong Kong Polytechnic University
9. Statistics for Stochastic Processes and Quantitative Finance Chiara Amorino / Christian Bayer Sara Svaluto-Ferro / University of Verona
10. Stochastic Optimization and Operations Research Martin Herdegen / Renyuan Xu Roxana Dumitrescu / ENSAE-CREST
11. Time Series and Functional Data Analysis Anne van Delft / Fabian Mies Siegfried Hörmann / TU Graz
12. Computational Methods in Probability and Statistics Claudia Schillings / Björn Sprungk Annika Lang / Chalmers University of Technology
13. Nonparametric and Asymptotic Statistics Markus Reiß / Nina Dörnemann Davy Paindaveine / Université Libre de Bruxelles
14. Algebraic, Geometric and Topological Methods in Statistics Mathias Drton / Karen Habermann Piotr Zwiernik / Universitat Pompeu Fabra Barcelona