Modeling and Simulation
- Prof. Dr. Eric von Lieres
Process Modeling and Experimental Design
- Dr. Katharina Nöh
Modeling of Biochemical Networks and Cells
We provide our local colleagues and the scientific community with state-of-the-art models, algorithms and software. Current challenges in strain characterization, selection and optimization as well as process analysis and development are addressed in a strongly data-driven, mathematically rigorous fashion in close collaboration between theory, simulation and experiment.
Typical research projects involve data analysis, model calibration or training, uncertainty analysis, parameter estimation, and experimental design. Model predictions are applied for testing hypotheses and focusing experimental work.
Current key topics are:
Live cell image analysis
13C metabolic flux analysis
Process chain modeling
High definition simulation
Bayesian statistical inference and optimization
Dr. Katharina Nöh
Building 15.7 / Room 205
Many projects require advanced numerical methods and high-performance computing, in particular when Monte Carlo simulations, global optimization or CFD simulations are applied. We develop and maintain dedicated software packages, most of which are published as open source code (see our GitHub page). The following of our tools are most widely used: