Roles: Postdoc
Expertise: Programming, Dynamic modelling, Biochemistry, Data integration, parameter estimation, Metabolomics
Tools: AMICI, PESTO, Python, c++, parameter estimation
Roles: Postdoc
Expertise: Mathematical modelling, parameter estimation, Systems Biology
Tools: Dynamic modelling, Matlab, ODE, 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
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Projects: Kinetics on the move - Workshop 2016, de.NBI-SysBio
Institutions: University of Heidelberg
Projects: MOSES, ExtremoPharm, ZucAt, GenoSysFat, DigiSal, EraCoBiotech 2 nd call proposal preparation, FAIRDOM & LiSyM & de.NBI Data Structuring Training
Institutions: University of Stuttgart, University of Hohenheim, Norwegian University of Life Sciences, Norwegian University of Science and Technology

Roles: Postdoc
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
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Projects: ICYSB 2015 - International Practical Course in Systems Biology
Institutions: Åbo Akademi University
Projects: SulfoSys - Biotec, ICYSB 2015 - International Practical Course in Systems Biology
Institutions: Otto-von-Guericke University Magdeburg, University of Gothenburg

Roles: Project Coordinator
Expertise: Image processing, Image analysis, Dynamic Systems, Signalling networks, dynamics of biological networks., parameter estimation, Databases, Data analysis, Systems Biology, Model selection, Identifiability, Cellular Senescence, Cell Cycle
Tools: Identifiability analysis, Fluorescence and confocal microscopy, parameter estimation, ODE, FACS, Model selection
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.
Projects: ICYSB 2015 - International Practical Course in Systems Biology
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: sensitivity analysis, Dynamic optimization., Systems Biology, Optimal experimental design, Mathematical modelling of biosystems and bioprocesses, dynamics and control of biological networks, parameter estimation
Tools: Dynamic modelling, Computational Systems Biology, Deterministic models, Stochastic models, parameter estimation, differential algebraic equations, Matlab, Partial differential equations, ODE
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
Projects: PSYSMO
Institutions: Helmholtz Centre for Infection Research Braunscheig
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.
Projects: SysMO-LAB
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)