Institutions: University of Stellenboschhttps://orcid.org/0000-0001-6288-8904
Tools: Biochemistry and protein analysis, Bioinformatics, Systems Biology, SBML, R, ODE, Molecular biology techniques (RNA/DNA/Protein), Genetics, Dynamic modelling, Computational and theoretical biology, CellDesigner, Parameter estimation
POSITION Prof. Dr. Natal van Riel is Professor in Computational Modelling at the Academic Medical Center - University of Amsterdam (AMC - UvA) and Associate Professor in Systems Biology and Metabolic Diseases at the Department of Biomedical Engineering of the Eindhoven University of Technology (TU/e).
RESEARCH My research applies mathematical modelling and computation to study metabolic diseases, in particular Metabolic Syndrome and co-morbidities. Systems biology approaches are developed for ...
Roles: Project Coordinator
Expertise: Signalling networks, dynamics of biological networks., Databases, Data analysis, Systems Biology, Model selection, Identifiability, Cellular Senescence, Cell Cycle, Dynamic Systems, Image processing, Image analysis, Parameter estimation
My group investigates dynamic regulation and control mechanisms of cellular signal transduction networks by a combination of theoretical, experimental and computational methods. We seek to make sense of our biological data with the help of mathematical models, which ideally enable us to make valid predictions for new experiments, thereby generating novel biological insights.
Institutions: Imperial College London
I am a PhD student in the Theoretical Systems Biology group, based at Imperial College London. The aim of my PhD is to understand how noise can be the driving force of decision-making processes (differentiation, self-renewal, apoptosis or tumorgenesis), and what are our chances to control them. So far I have been working on method development for stochastic models, a moment closure framework and a stochastic reachability method, to look into cell-to-cell-variability.
Expertise: Biochemistry, coupling metabolome and environome, rapid sampling experiments, Systems Biology, carbon metabolism, Stoichiometric modelling, Proteomics, Metabolomics, yeast, fungi, Dynamics and Control of Biological Networks
Tools: Biochemistry and protein analysis, Metabolomics, Matlab, Fermentation, Chromatography, Material balance based modeling, stimulus response experiments, continuous cultivation, Enzyme assay, Mass spectrometry (LC-MS/MS), HPLC, GC and LC/MS analysis of metabolites, ODE, Parameter estimation
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 ...
Institutions: Åbo Akademi University
Institutions: Helmholtz Centre for Infection Research Braunschweig
I am an engineer with a PhD degree in Chemical Engineering and had been working on dynamic modeling of mammalian cell culture fermentation in London for three years before moving into simulation of microbial systems. In this PSYSMO project I am mainly involved in modeling of PHAs synthesis. I am also a PAL since May 2009 - 2011 to coordinate data management and general communication among all 17 partners.
Expertise: Mathematical modelling of biosystems and bioprocesses, Optimal experimental design, Systems Biology, sensitivity analysis, Dynamic optimization., Dynamics and Control of Biological Networks, Parameter estimation
I am a postdoctoral researcher in the group of Julio Banga. My research is focused on computational systems biology with particular attention to the mathematical modelling of biosystems and bioprocesses. Some of the topics we address are: - Parameter estimation - Model identifiability - Global sensitivity analysis - Optimal experimental design - Dynamic optimization - Robust control of diffusion-reaction systems