Mathematics and Life Sciences

Our interdisciplinary research unit develops and applies of computational methods for the analysis of complex biological processes. We focus on methods facilitating the model-based integration of different datasets, the critical assessment of the available information, the comparison of competing biological hypothesis and the tailored selection of future experiments. Following the philosophy of Galileo Galilei:

“Measure what can be measured, and make measurable what cannot be measured.”

we use models to reconstruct properties of the system which cannot be assessed experimentally. This results in an improved holistic understanding of biological systems. We apply these methods to study intracellular signal processing, cell-to-cell variability, tissue organisation and drug response.