Projects: COVID-19 Disease Map
Institutions: Golestan University of Medical Scienceshttps://orcid.org/0000-0002-0773-1610
I would like to collaborate on the COVID-19 projects.
I am currently a faculty member of the Infectious Diseases research center, at the Golestan University of Medical Sciences, Iran, and studying clinical information of patients with COVID-19.
I am a microbiologist and can help other teams to evaluate the data obtained from COVID-19 cases.
Projects: COVID-19 Disease Map
Institutions: University of Tübingenhttps://orcid.org/0000-0002-1240-5553
Expertise: Systems Biology, Computational Systems Biology, Databases, Dynamic modelling, Java, Mathematical modelling, Metabolic Engineering, Disease Maps, Curation, Modeling, Data Integration, Constraint-based Modelling, Parameter estimation
Andreas Dräger is the assistant professor for Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens at the University of Tübingen in Germany. His group aims to combat the spreading antibiotics resistances by using mathematical modeling and computer simulation of bacterial systems up to entire microbiomes and host-pathogen interactions. In doing so, his group actively contributes to the advancement of various COMBINE standards.
Projects: COMBINE Multicellular Modellinghttps://orcid.org/0000-0002-7692-7203
Institutions: Institut Pasteurhttps://orcid.org/0000-0001-6286-1138
Institutions: Technische Universität Dresdenhttps://orcid.org/0000-0003-0137-5106
Lutz Brusch is heading the research group "Spatio-temporal pattern formation in cells and tissues" at the Centre for Information Services and High Performance Computing of TU Dresden, Germany. The group is co-developing the multi-cellular modelling and simulation framework Morpheus (https://imc.zih.tu-dresden.de/wiki/morpheus/) and is collaborating with experimental labs on questions of tissue morphogenesis and regeneration.
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
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).
My research applies mathematical modelling and computation to study metabolic diseases, in particular Metabolic Syndrome and co-morbidities. Systems biology approaches are developed for
I studied Engineering Cybernetics at the University of Stuttgart and the University of Wisconsin, Madison. After my graduation, I started my PhD studies in systems biology for which I received a Ph.D. degree in 2013. A few months later I became team leader at the Institute of Computational Biology at the Helmholtz Zentrum München. Since August 2015, I lead an independent junior research group at the Helmholtz Zentrum München.
My research focuses on the development of methods for the data-driven
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.
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: Åbo Akademi University
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
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
Expertise: Mathematical modelling, Bacillus subtilis, Deterministic modelling of gene regulation networks, stress responses, Systems Biology, sensitivity analysis, Dynamics and Control of Biological Networks, Parameter estimation
Modelling of the general stress response activation cascade of sigB in B. subtilis in response to starvation.
Institutions: Beuth University of Applied Sciences Berlinhttps://orcid.org/0000-0001-6096-1354
Roles: Project Coordinator
Expertise: Mathematical modelling, Data Management, coupling metabolome and environome, rapid sampling experiments, dynamics of biological networks, bioreactor models, Optimal experimental design, Dynamic optimization., Nonlinear Dynamics, Data Integration, Parameter estimation
Process engineer, modeling biological systems since 1985.
Institutions: University of Applied Sciences Koblenz, Rhein Ahr Campus
Grammar school until 1998
1998-99 Alternative civilian service
1999-2002 Professional education as male nurse
2002-2007 Study of Biomathematics
2007-... PhD student in TRANSLUCENT project
PhD student as research associate at the Institute for System Dynamics (ISYS), Universität Stuttgart, Germany. Engineering background→modelling, identification and analyses. Detailed kinetic modelling, identification and analysis of the TCA cycle (tricarboxylic acid cycle, citric acid cycle) and the ETC (electron transport chains, respiratory chains) of Escherichia coli. One of the SysMO-DB pals for SUMO.
PI of the SUMO work package "Detailed kinetic modelling, identification and analysis of the citric acid cycle and respiratory chains of E. coli". Director of the Institute for System Dynamics, Universität Stuttgart, Germany.
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.
Expertise: Molecular Biology, Bioinformatics, Mathematical modelling, Reactor models, dynamics of biological networks, Mathematical and statistical modeling, bioreactor models, Dynamics and Control of Biological Networks, Parameter estimation
Tools: Bioinformatics, Computational and theoretical biology, Transcriptomics, Model organisms, Single Cell analysis, SBML, ODE, Linear equations, Matlab, Microarray analysis, linux, Material balance based modeling, stimulus response experiments, DIVA, differential algebraic equations, evaluation of process dynamics, continuous cultivation
I'm an engineer at the MPI Magdeburg and I'm working in the field of mathematical modeling, model verification, parameter identification, model analysis and experimental design. I'm involved in two projects, KOsmoBac and PSYSMO.
Physicist, working on the modelling side.
biomathematician, PhD student at the University of Rostock, Systems Biology Group Rostock
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