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.
