Modeling and Simulation

ABOUT

Group heads:

Prof. Dr. Eric von Lieres
Process Modeling and Experimental Design

Dr. Katharina Nöh
Modeling of Biochemical Networks and Cells

We provide state-of-the-art models, algorithms and software to our local colleagues and the scientific community. Current challenges in strain characterization, selection and optimization, as well as process analysis and development are addressed in a strongly data-driven, mathematically rigorous manner in close collaboration between theory, simulation and experiment.

Prof. Dr. Eric von Lieres
IBG-1

Building 15.7 / Room 205
phone: +49 2461/61-2168
E-mail

RESEARCH TOPICS

Typical research projects include data analysis, model calibration or training, uncertainty analysis, parameter estimation, and experimental design. We use model predictions to test hypotheses and to focus 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
IBG-1

Building 15.7 / Room 205
phone: +49 2461/61-9294
E-Mail

Many projects require advanced numerical methods and high-performance computing, especially when Monte Carlo simulations, global optimization, or CFD simulations are applied. We develop and maintain dedicated software packages, most of which are released as open source code (see our GitHub page, https://github.com/modsim/). Our most widely used tools are

CADET https://github.com/cadet/ for process chain simulation including fermentation, filtration and chromatography
13CFLUX https://www.13cflux.net/ for intracellular flux inference using data from isotope labeling experiments

Spin-off company