Computational Systems Biology aims at the construction and analysis of predictive, mainly mechanistic, mathematical models for the description of complex interactions in biological systems. Such models are characterized by a large number of variables, parameters and constraints, which requires the application of efficient numerical algorithms and computational techniques for high-dimensional problems. We develop novel methods and models for biological and (bio)chemical processes on different levels of organization, e.g., molecular conformation dynamics, chemical reaction kinetics, and hormonal regulatory network. Research in our group comprises, amongst others, the following topics:

Hormonal regulatory networks, e.g. the human menstrual cycle

Markov state modelling of gene-regulatory networks

Bovine fertility and metabolism

Parameter identification and uncertainty quantification

Hybrid modeling