Projects: COVID-19 Disease Map
Institutions: Monash University

Roles: PhD Student
Expertise: Bioinformatics, Machine Learning, Data analysis, Deep Learning, Molecular Biology, Plant biology
Tools: Python, R, SQL, High Performance Computing
Projects: COVID-19 Disease Map
Institutions: Pondicherry University

Roles: PhD Student
Expertise: Bioinformatics, Transcriptomics, Computational Systems Biology, Data analysis
Tools: Data Integration, R, Databases, Python, Cytoscape, network theory
PhD Student at Centre for Bioinformatics, Pondicherry University, Pondicherry, India.
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis
Institutions: University of Nebraska-Lincoln

Expertise: Computational modelling, Data analysis, Data Integration
Tools: R, Matlab, Cell designer, Cell Collective, Cytoscape
Projects: COVID-19 Disease Map
Institutions: independent researcher

Expertise: Data analysis, Bioinformatics, Molecular Biology, Genetics, Neuroscience
Tools: Data Science, R, Cell designer, SBML, Single Cell analysis, Transcriptomics
Projects: Not specified
Institutions: Not specified
Expertise: Cell biology, DNA repair, Cancer Biology, Cancer research, Molecular Biology, Curation, Cell physiology, Data analysis, Visualization, Graphical Editors, Image analysis
Tools: Animal models, Cell and tissue culture, In vivo bioluminescence imaging, Molecular biology techniques (RNA/DNA/Protein), Cytometry and fluorescent microscopy, Adobe Illustrator, GraphPad Prism, Adobe Photoshop
M.Sc. graduate specializing in medical science, translational cancer research, cell biology, and DNA damage repair.
Projects: COVID-19 Disease Map
Institutions: European Molecular Biology Laboratory

Expertise: protein-protein interactions, Databases, Pathways, lipidomics, Data analysis, Visualization
Projects: COVID-19 Disease Map
Institutions: University of Cape Town

Projects: COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data
Institutions: University Medicine of Greifswald

Expertise: Data analysis, Epidemiology, Data Quality, Cohort Studies
Carsten Oliver Schmidt is Deputy head of the Department of SHIP/ Clinical-Epidemiological Research. He leads the functional division “Quality in the health Sciences”. The investigator is PI of several methods and research quality related projects, and speaker of the methods section of the German Society for Epidemiology. He works in the field of research methods, quality management, musculosceletal disorders, among others.
Expertise: Network biology, Computational Systems Biology, Cancer research, Data analysis, Bioinformatics, Curation
Tools: CellDesigner, Cytoscape, NaviCell, Pathway Tools
Network biology, knowledge formalisation, cancer, data analysis
Projects: COVID-19 Disease Map
Institutions: Yenepoya University
Expertise: Biochemistry, Data analysis, Systems Biology, Data Integration
Tools: Proteomics, Systems Biology, Molecular Biology, Bioinformatics, Data Integration
Projects: COVID-19 Disease Map
Institutions: Barcelona Supercomputing Center

I completed my BSc in Biology and MSc in Cell Biology by the University of Valencia. During my last undergrad year I participated in synthetic biology’s iGEM competition where I dove in the use of models in Biology, which pushed me to pursue a PhD in the Department of Applied Mathematics in the Technical University of Valencia.
My research on Metabolic Engineering of hydrogen in cyanobacteria led me to be visiting researcher at Uppsala University, Denmark Technical University and EMBL Heidelberg.
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Expertise: Biochemistry, Cell biology, Data analysis, Dynamic modelling, Systems Biology, Image analysis, Genetics, Molecular Biology, R, SBML, Curation, Quantitative Biology, Physical Chemistry
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
Projects: CEPLAS – Cluster of Excellence on Plant Sciences
Institutions: Heinrich Heine University of Düsseldorf

Roles: Postdoc
Expertise: R, Data Management, Data analysis, Metabolomics, Transcriptomics, Systems Biology, Computational Systems Biology, Bioinformatics
Tools: Data Management, Systems Biology, R, Transcriptomics, Bioinformatics
Projects: PoLiMeR - Polymers in the Liver: Metabolism and Regulation
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)

Roles: PhD Student
Expertise: Java, Data analysis
I am a Researcher at the National Laboratory of Scientific Computing (LNCC). I am a bioinformatician and my research interests are in data integration and analyses. I use scientific workflows technologies to integrate and analyse data in systems biology, phylogenomics, and functional genomics.
Post Doc (2010 – 2015) of the Department of Computer Science at the COPPE Institute of the Federal University of Rio de Janeiro (Brazil) and was supported by a FAPERJ’s grant “Post-Doc Note 10” (2013 –
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Projects: pISA-tree, HYp - Spatiotemporal analysis of hypersensitive response to Potato virus Y in potato, INDIE - Biotechnological production of sustainable indole, _p_stRT, ADAPT - Accelerated Development of multiple-stress tolerAnt PoTato
Institutions: National Institute of Biology

Roles: PhD Student
Expertise: Molecular Biology, Statistics, Bioinformatics, Mathematical and statistical modeling, Programming, Data analysisMathematical modellingBioinformaticsSystems biology, Data Management, Data analysis, Visualization, Data Integration, Computational Biology
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Molecular Biology, Python, R, Systems Biology, Data Integration
Computational Biologist, Young Researcher at Department of Biotechnology and Systems Biology, National Institute of Biology NIB and PhD candidate in Statistics, Ljubljana, Slovenia
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
Projects: HUMET Startup, COVID-19 Disease Map
Institutions: University of Ulster

POSITION
Lecturer/Assistant Prof in Computational Biology at the University of Ulster.
RESEARCH
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.
PUBLICATION
My publications can be seen at: https://scholar.google.co.uk/citations?user=oMccxPwAAAAJ&hl=en
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Projects: SulfoSys - Biotec, ICYSB 2015 - International Practical Course in Systems Biology
Institutions: Otto-von-Guericke University Magdeburg, University of Gothenburg

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
Tools: ODE, FACS, Model selection, Fluorescence and confocal microscopy, Identifiability 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: University of Tuebingen, University of Tübingen
Projects: SUMO
Institutions: University of Amsterdam
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
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Projects: COSMIC, BaCell-SysMO
Institutions: University of Rostock
Roles: Postdoc
Expertise: Mathematical modelling, dynamics of biological networks, Physics, bistability, Systems Biology, Data analysis, Statistical Physics, Dynamics and Control of Biological Networks
Tools: Computational and theoretical biology, ODE, Matlab, Mathematica, differential algebraic equations, Stochastic models, C programming, Computational Systems Biology, Dynamic modelling, Data Modelling
Modelling of cellular signalling, Dynamic Motifs and Feedback, Quantitative Measures, Theoretical Aspects of Modelling Biological Systems
Projects: SCaRAB, STREAM, SYSTERACT, INBioPharm
Institutions: SINTEF, Norwegian University of Science and Technology
Roles: Postdoc
Expertise: Bioinformatics, Microarray analysis, Data analysis, Pseudomonas, Streptomyces, Stoichiometric modelling, Prokaryotic genetics, Analytical chemistry
Tools: Transcriptomics, Perl, Fermentation, GC and LC analysis of metabolites, Pathway Tools, MS imaging, Mass spectrometry (LC-MS/MS), Mass spectrometry, FT-ICR-MS, Field Flow Fractionation
Senior Research Scientist at SINTEF, Dept. of Biotechnology and Nanomedicine, Research Group Mass Spectrometry