Institutions: National Institute of Biologyorcid.org/0000-0002-1669-6482
Disciplines: Not specified
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: Not specified
Projects: Not specified
Institutions: Not specifiedorcid.org/0000-0001-8357-2159
Roles: Not specified
Expertise: Biochemical analysis, protein extraction, protein purification, ELISA, Immunoblots, Immunoassays, oral food challenge, Data analysis, Mass spectrometry (LC-MS/MS), food allergy, peanut and treenut allergy, Molecular Biology, Microbiology
Tools: Biochemistry and protein analysis, molecular biology techniques, 1D and 2D SDSPAGE, immunoblot, ELISA Techniques, Immunological techniques, oral food challenge matrix preparation for food allergy research, data analysis and data management, Mass spectrometry, protein purification, food allergen characterisation
Lecturer/Assistant Prof in Computational Biology at the University of Ulster.
My research focusses principally on cholesterol metabolism and its role in cardiovascular disease and atherosclerosis. I have also studied its role in innate immunity and infection. In addition, I have worked on areas of personalised and stratified medicine for cardiovascular disease and rheumatoid arthritis.
My publications can be seen at: https://scholar.google.co.uk/citations?user=oMccxPwAAAAJ&hl=en
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
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.
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
Senior Research Scientist at SINTEF, Dept. of Biotechnology and Nanomedicine, Research Group Mass Spectrometry
Started out in the field of environmental analytical chemistry and after a few years working in that field, switched to process analysis and chemometrics. Next during my PhD work I came into Life Sciences doing data analysis on microbial batch fermentations (Escherichia coli). During my PhD work my main task was to integrate prior knowledge into data analysis, so called grey modeling. Now my focus lies on white models (based on ordinary differential equations), more specifically building a detailed