Dynamical Systems

The biological systems studied in the group are characterized by complex feedback mechanisms, intrinsic noise, and – where data are available – experimental noise as well. The ABC-SMC approach developed in the group allows us to analyze such systems in a Bayesian framework in a computationally affordable manner.

Very generally, we are interested in what qualitative aspects of dynamical systems affect our ability to infer (or reverse-engineer) such systems. We use a combination of inferential and modelling tools in order to address these questions for very general examples of dynamical systems.