
Computational Systems Biology Group builds mathematical models to understand cellular systems and predict outcomes to reduce unnecessary experiments. They apply kinetic, stoichiometric, and logical modeling, leverage AI, and develop software for researchers. Core tools include COPASI and SpaceScanner, with global stochastic optimization for parameter estimation. The group focuses on cellular metabolism, precision medicine, and systems biology. Their work targets researchers in biology and medicine, collaborating with institutions and industry.

Computational Systems Biology Group builds mathematical models to understand cellular systems and predict outcomes to reduce unnecessary experiments. They apply kinetic, stoichiometric, and logical modeling, leverage AI, and develop software for researchers. Core tools include COPASI and SpaceScanner, with global stochastic optimization for parameter estimation. The group focuses on cellular metabolism, precision medicine, and systems biology. Their work targets researchers in biology and medicine, collaborating with institutions and industry.