Institutions: UNIBI: Bielefeld Universityorcid.org/0000-0002-6100-9135
Institutions: Wageningen University & Research
Projects: HUMET Startup
Institutions: Leiden University Medical Centerorcid.org/0000-0002-2172-7394
Professor in genetics and systems biology of the metabolic syndrome
Professor of Systems Medicine/Biology at the Academic Medical Center, Amsterdam and University Medical Center Groningen, Groningen, The Netherlands
My major projects focus on understanding the etiology of metabolic syndrome and its comorbidities type2 diabetes and cardiovascular disease. To get grip on the sequence of events in disease progression we make use of longitidunal models and apply multiscal systems biology approaches.
My published work can be found at:
Tools: SQL, Material balance based modeling, Mathematica, Matlab, Copasi, JWS Online, Algebraic equations, Linear equations, ODE, Partial differential equations, SBML, Metabolomics, Model organisms, Cell biology, Computational and theoretical biology, Molecular Biology
I'm a modeller, specialized in kinetic modeling of biochemical networks. My focus in the SysMO-LAB consortium is on creating models of Lactococcus lactis glycolysis and couple this to other related lactic acid bacteria like Streptococcus pyogenes and Enterococcus faecalis. Besides kinetic modeling, I'm also interested in combining various modeling techniques (genome-scale modeling, qualitative modeling).
Expertise: yeast, fungi, Metabolomics, Proteomics, Stoichiometric modelling, carbon metabolism, Systems Biology, dynamics and control of biological networks, coupling metabolome and environome, rapid sampling experiments, Biochemistry
Tools: parameter estimation, ODE, HPLC, GC and LC/MS analysis of metabolites, Mass spectrometry (LC-MS/MS), continuous cultivation, Enzyme assay, Material balance based modeling, stimulus response experiments, Chromatography, Fermentation, Matlab, Metabolomics, Biochemistry and protein analysis
I've become a SysMO DB PAL for MOSES project in 2007 being a post-doc in lab of Prof. Matthias Reuss at University of Stuttgart. In the MOSES project, our major efforts were in the experimental data acquisition for dynamic model of primary carbon and anaerobic energy metabolism in yeast. The model implements prediction of perturbations of two types: glucose pulse and temperature jump. We implement “stimulus-response” methodology for the unraveling the dynamic structure of the network and to
I am assistant professor at the Laboratory of Microbiology and my interest is in the area of molecular microbiology. Research focuses on the analysis of the metabolism of anaerobic fermentative bacteria and archaea, especially with respect to biofuel production (hydrogen, butanol). Within SysMo our tasks concern the effect of butanol stress, using metabolomics and transcriptomics.
University Education: 1987-1993, Biotechnology (Diploma), Technische Universität Braunschweig, Germany.
Dissertation: 1993-1996, Disseration German Research Centre for Biotechnology, Biochemical Engineering Division, Braunschweig, Germany.
Habiliation: 2006, Saarland University, Saarbrücken, Germany.
1993-1996: Research Assistant, German Research Centre for Biotechnology, Biochemical Engineering Division, Braunschweig, Germany.
1997-1998: Post-doc at Department of Applied Chemistry &
PostDoc at Wageningen University, Laboratory of Microbiology
Roles: Vice Coordinator
Expertise: genome-scale modeling, enzyme kinetics, Metabolic Pathway Analysis and Engineering Microbial Physiology Modeling of Biological Networks Industrial Systems Biotechnology White Biotech..., dynamics and control of biological networks
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.