Projects: Simulation Foundries, CML for thermophysical properties of mixtures, Test Project (dummy), Towards Reproducible Enzyme Modeling
Institutions: University of Stuttgart, Karlsruhe Institute of Technology (KIT)

Expertise: enzyme kinetics, enzymes, Enzymatic reactions, biochemical enzyme characterization, Biochemistry, molecular simulation, molecular modeling, Programming, Bioinformatics, Computational Biology
Tools: Gromacs, Python, Molecular Dynamics, bash, Biochemistry, Bioinformatics, Biochemistry and protein analysis, Enzyme assay, enzyme kinetics, isothermal titration calorimetry, dynamic light scattering, Spectrophotometry
Polyglot European Scientist. I thrive working in interdisciplinary environments combining the study of enzyme reactions and mechanisms with bioinformatics, molecular modelling, automated data analysis and data stewardship.
Projects: PoLiMeR - Polymers in the Liver: Metabolism and Regulation
Institutions: University of Groningen
I work as a project manager for the Innovative Training Network PoLiMeR - Polymers in the LIver: Metabolism and Regulation funded by the EU. In addition I am a project manager for the UMCG Research BV where I support scientist in the pre-award phase with writing their proposals and in the post-award phase with managing their awarded projects.
Projects: SysMO-LAB, SysMilk, IMOMESIC
Institutions: Wageningen University & Research, VU University Amsterdam

Expertise: Metabolic Pathway Analysis and Engineering Microbial Physiology Modeling of Biological Networks Industrial Systems Biotechnology White Biotech..., genome-scale modeling, enzyme kinetics, Dynamics and Control of Biological Networks
Tools: Metabolomics, enzymatic analyses, Chemostat culture, Kinetic Modeling
Since August 2008 I am professor in Systems Biology at the VU University Amsterdam. My Systems Bioinformatics group focusses on systems biology with a special focus on integrative bioinformatics. It aims at forming bridges between the classical bottom-up approaches in systems biology and the more data-driven approaches in classical bioinformatics. We combine experimental, modeling and theoretical approaches to study cellular physiology, with an emphasis on metabolic networks.