12–17 Jul 2026
University of Graz
Europe/Vienna timezone

Stochastic models and methods in mathematical biology

Not scheduled
20m
University of Graz

University of Graz

Speakers

Alice Callegaro (Technische Universität München) Ankit Gupta (ETH Zürich) Gabriela Gomes (Strathclyde University) Giulio Cuniberti (Politecnico di Torino) Heinz Koeppl (TU Darmstadt) Julian Cabrera-Nyst (University of Granada) Matthew Wascher (Case Western Reserve University) Olga Izyumtseva (University of Nottingham)

Description

Biology has been often touted as the new physics for mathematics with the promise of new theorems that are inspired by biological investigations. The proposed mini-symposium will discuss new theoretical results and open problems in probability theory and stochastic processes, which are inspired by models in biology. In particular, the session will provide an overview of stochastic models arising from polymers, fragmentation processes, epidemics on networks, mean-field limits connecting macroscopic behaviour to microscopic interactions, neuroscience, systems biology and reaction networks. The two-part mini-symposium will showcase a variety of probabilistic and analytic tools that provide rigorous insights into the mechanisms driving complex
biological systems.

The invited speakers all of whom have confirmed to participate and speak in the mini-symposium should the proposal be accepted are carefully chosen to ensure diversity of not only areas of biological systems but also career stages and backgrounds.

Authors

Arnab Ganguly (Louisiana State University) Olga Izyumtseva (University of Nottingham) Wasiur Rahman Khuda Bukhsh (University of Nottingham)

Presentation materials

There are no materials yet.