Projects: Mass spectrometry proteomics for biomarker discovery, Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolateshttps://orcid.org/0000-0002-7244-7106
Junior researcher in Medicinal Chemistry
Senior Research Scientist at SINTEF, Dept. of Biotechnology and Nanomedicine, Research Group Mass Spectrometry
Team leader "Quantitative Microbial Phenotyping" Institute of Bio- and Geosciences, IBG-1: Biotechnology Forschungszentrum Jülich GmbH 52425 Jülich, Germany
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 ...
I am PhD student at Prof.Uwe Voelker lab in Department of Functional Genomics. My area of research is microbial functional genomics in particular analysing the whole transcriptome(by microarray and other molecular biolology methods) of B.subtilis under various stress conditions. I use QconCAT strategy for absolute quantification of carbon metabolic enzymes via MRM(multiple reaction monitoring) by LC-MS/MS. I also perofrm experiments for understanding of dynamics of SigmaB network for modelling.