I am a statistician with a focus on probabilistic (Bayesian) methods working as a Full Professor for Computational Statistics at the Department of Statistics, TU Dortmund University.
In my lab, we are working on a wide range of research topics related to the development, evaluation, implementation, or application of Bayesian methods. This includes, among others, uncertainty quantifitcation, prior specification, simulation-based inference, as well as model evaluation and comparison.
The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory. Thus, it should not come as a surprise that Bayesian methods are increasingly used in statistical and computational inference in both science and industry.