Disciplines: Not specified
Roles: Sysmo-DB Pal
Expertise: Optimal experimental design, Systems Biology, sensitivity analysis, Dynamic optimization., dynamics and control of biological networks, parameter estimation
Tools: Dynamic modelling, Computational Systems Biology, Deterministic models, Stochastic models, differential algebraic equations, parameter estimation, Matlab, ODE, Partial differential equations
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: COSMIC
Institutions: University of Stuttgart
Disciplines: Not specified
Roles: Sysmo-DB Pal
Expertise: Data integration, Nonlinear Dynamics, Optimal experimental design, Dynamic optimization., bioreactor models, rapid sampling experiments, parameter estimation, dynamics of biological networks, coupling metabolome and environome, Mathematical modelling, Data Management
Tools: Dynamic modelling, evaluation of process dynamics, continuous cultivation, Material balance based modeling, stimulus response experiments, Matlab, Fermentation, SBML
Process engineer, modeling biological systems since 1985.
Projects: SysMO-LAB
Institutions: University of Wageningen
Disciplines: Modeller
Roles: Project Coordinator
Expertise: genome scale modelling, enzyme kinetics
Tools: kinetic modeling, Dynamic modelling, Deterministic models, Stochastic models, Metabolomics
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.