My research team develops methods for data-driven dynamical modeling, which allow for 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 which cannot be assessed experimentally.