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Expertise: Mathematical modelling, Statistically and biologically inspired optimization algorithms, Mathematical modelling of biosystems and bioprocesses, Dynamics and Control of Biological Networks, Parameter estimation
Tools: Computational and theoretical biology, ODE, Partial differential equations, Matlab, Mathematica, Computational Systems Biology, including: - Dynamic modelling - Parameter estimation - Optimal experimental design - Dynamic optimization
We are very interested in applying a systems approach (i.e. model-based concepts and related computational tools) to problems from the biological domain. In particular, we are doing research in computational systems biology, targetting the following topics: - Parameter estimation (inverse problems, model calibration) in biochemical pathways - Optimal experimental design (optimal dynamic experiments) for Systems Biology
- Dynamic optimization (optimal control) of biosystems and bioprocesses
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
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Web page: http://sysmo.net/