Institutions: National Institute of Biology
Computational Biologist and App Designer @LifeGlimmer
Associate Professor for Systems Biomedicine, Luxembourg Centre for Systems Biomedicine, University of Luxembourg
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
Projects: FAIRDOM, Early Metabolic Injury (LiSyM-EMI - Pillar I), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), LiSyM Core Infrastructure and Management (LiSyM-PD), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Kinetics on the move - Workshop 2016, Example use cases, FAIRDOM user meeting, MS_DILI
Data management and standardization expert for systems biology and systems medicine, responsible for the data management user requirements and user contacts within the German LiSyM network (Liver Systems Medicine: http://lisym.org/) and associated to the FAIRDOM team.
Involved in different standardization initiatives and committees, i.e. COMBINE (http://co.mbine.org), ISO/TC 276 Biotechnology (https://www.iso.org/committee/4514241.html), European COST action CHARME (http://www.cost-charme.eu) and
Institutions: University of Rostock
Reproducibility of results is fundamental to all sciences. In computational biology, standard formats like Systems Biology Markup Language (SBML), CellML, or NeuroML enable the exchange of simulation models, and foster interoperability between software tools importing and exporting these formats.
My main research interest is in developing methods and tools that (1) improve the reuse of computational models in biology, (2) ensure reproducibility of modeling results and (3) that lead to easier
Systems Biologist specialising in data integration, high-throughput sequence analysis, and evolutionary and comparative analyses.
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.