The focus of our research group lies in Probability theory and its applications. We are especially interested in probability models, stochastic processes and random structures that describe the evolution of interacting particle systems and population models forward and backward in time. Many of these models have implications for the applied sciences, especially for Biology and Physics. Our particular interest has been on models in (population) genetics and ecology.

- Branching and interacting particle systems
- Random graphs and structures
- Markov processes with general state spaces
- Stochastic (partial) differential equations
- Coalescent processes
- Limit theorems

We are also interested in related questions in Mathematical Statistics, in particular statistical inference and asymptotic statistic. Another recent focus includes questions in stochastic optimization and algorithms.