Institutions: National Institute of Biologyorcid.org/0000-0002-1669-6482
Roles: PhD Student
Expertise: Data analysisMathematical modellingBioinformaticsSystems biology, Data Management, Data analysis, Data integration, Visualization, computational biology, Molecular Biology, Statistics, Bioinformatics, Mathematical and statistical modeling, Programming
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data integration, Data Management, Databases, Dynamic modelling, Molecular Biology, Python, R, Systems Biology
Computational Biologist, Young Researcher at Department of Biotechnology and Systems Biology, National Institute of Biology NIB and PhD candidate in Statistics, Ljubljana, Slovenia
Institutions: National Institute of Biologyorcid.org/0000-0003-0913-2715
Projects: HUMET Startup
Institutions: Centro de Investigación Príncipe Felipeorcid.org/0000-0003-3318-120X
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Genetics, Genomics, R, Systems Biology, Transcriptomics, Java
My scientific interests revolve around functional genomics, systems biology and the development of algorithms and software for the analysis of high-throughput data (mainly, but not restricted to, Next Generation Sequencing) and its application to the relationship between genotype and phenotype, mainly oriented to personalized and precision medicine. I am especially interested in the study of disease mechanisms and drug action mechanisms, drug repositioning and the definition of mechanism-based
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
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
Expertise: sensitivity analysis, Systems Biology, stress responses, Deterministic modelling of gene regulation networks, dynamics and control of biological networks, parameter estimation, Bacillus subtilis, Mathematical modelling
Modelling of the general stress response activation cascade of sigB in B. subtilis in response to starvation.
Institutions: Beuth University of Applied Sciences Berlinorcid.org/0000-0001-6096-1354
Roles: Project Coordinator
Expertise: Nonlinear Dynamics, Data integration, Dynamic optimization., Optimal experimental design, bioreactor models, dynamics of biological networks, parameter estimation, coupling metabolome and environome, rapid sampling experiments, Data Management, Mathematical modelling
Process engineer, modeling biological systems since 1985.
From 2005 to 2008 I was group leader at the Institute for System Dynamics at the University of Stuttgart. Since 2008 I am now Professor of Systems Biology at the University of Luxembourg.
The research of the Systems Biology Group at the University of Luxembourg is focussed in the area of experimental and theoretical systems biology. We are applying different modelling techniques (mainly ODE and logical) to biological systems to develop suitable computational models. The analysis of these models
Tools: data modelling, Dynamic modelling, Computational Systems Biology, Stochastic models, C programming, differential algebraic equations, Mathematica, Matlab, ODE, Computational and theoretical biology
Modelling of cellular signalling, Dynamic Motifs and Feedback, Quantitative Measures, Theoretical Aspects of Modelling Biological Systems
Expertise: carbon metabolism, Signalling networks, metabolic networks, Nonlinear Dynamics, Systems Biology, stress responses, Mathematical modelling of biosystems and bioprocesses, Bacillus subtilis, Mathematical modelling, Biochemistry, Microbiology
Tools: fed-batch cultivation, Dynamic modelling, Computational Systems Biology, Deterministic models, continuous cultivation, Enzyme assay, Chromatography, Fermentation, Matlab, Mathematica, ODE, Computational and theoretical biology
I am a biologist in the lab of Prof. Reuss at the University of Stuttgart and I am working in the field of biotechnology and mathematical modelling.
Tools: fed-batch cultivation, In silico Metabolic Network Analysis, Dynamic modelling, including:- Dynamic modelling- Parameter estimation- Optimal experimental design- Dynamic optimization, Computational Systems Biology, evaluation of process dynamics, continuous cultivation, stimulus response experiments, Fermentation
Professor for Biochemcial Engineering, University Stuttgart
Expertise: carbon catabolite regulation in Gram positive bacteria, Bacterial Cell Biology, microscopy, protein-protein interactions, functional protein expression, Bacillus subtilis, Molecular Biology
Tools: interaction analysis techniques especially SPR measurements, Cell culture, Western blot analyses, Immunofluorescence, 2-D Gel Electrphoresis, Dynamic modelling, quantitative western blot analysis, Protein chemical methods (protein overproduction, Fluorescence and confocal microscopy, Chromatography
I am working on a kinetic model of the central metabolism as well as on a genome wide model of Streptococcus pyogenes.
With a background in the statistical mechanics of disordered systems, my research
focusses on the interface between statistical physics and molecular biology. At the centre is the relationship
between fluctuations and noise in biological systems, the corresponding statistical ensembles, and biological
function. This connection emerges at very different levels and timescales, from stochastic modeling of
gene expression to the population dynamics of regulatory DNA.