Summary The aim of this three day bilateral conference is to discuss recent developments at the interface between probability theory and the life sciences. Probabilistic models are instrumental in the understanding and mathematical description of many biological processes. In this workshop we aim at highlighting three themes, corresponding to the three days of the conference. 1. Stochastic models of population dynamics 2. Quantitative developmental biology 3. Stochastic models in neuroscience These topics have been the subject of intense research in…

Summary This workshop aims to bring together international researchers that study interacting random systems embedded in space, covering both theory and applications. The focus is on new developments in a wide range of associated research areas such as point-process theory, random graphs, percolation theory, random tessellations, first-passage percolation, random walks, interlacements, dynamical random networks and their related application areas, including wireless networks, interacting biological systems and mathematical physics. We provide an interesting and relaxed program, leaving plenty of time for…

Summary Duality is a key technique in Markov process theory, with applications in interacting particle systems, non-equilibrium statistical physics, and stochastic population dynamics. In recent years several new developments in the theory of duality have taken place, with applications in the above three areas. Examples include the Lie-algebraic approach to duality, the use of duality for integrable systems, random processes on random graphs, and population dynamics with seed-banks. In the workshop we aim to bring together experts in these areas,…