Computational Systems Biology
Computational Systems Biology aims at the construction and analysis of mathematical models for the description of complex interactions in biological systems. Such models are characterized by a large number of variables, parameters and contraints, which requires the application of efficient numerical algorithms and computational techniques.
Time sequences of physiological processes are often modeled with differential equations that describe the concentrations of the substances over time. From a mathematical point of view, the main difficulty today is no longer to simulate such systems, but to identify the arising model parameters. The goal is to identify interpretable parameter values, so that not only the modeled curves match the given measured data well, but also predictions can be made about the parameters and variables not covered by measurements. Our work is highly interdisciplinary since model construction and validation strongly depends on information and data provided by cooperation partners.