Senior Post-Doc at VIB Medical Biotechnology Center
Ghent, East Flanders, Belgium
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Summary
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Andrea Argentini is a Senior Post-Doc and bioinformatics scientist with 11 years’ experience applying machine learning and NGS/proteomics expertise to biomarker discovery and quantitative mass-spectrometry. He developed the widely used moFF label-free quantification tool and a learn-to-rank proteotypic peptide predictor during his Compomics/VIB tenure, bridging hands-on algorithm development with practical proteomics pipelines. Proficient in Python, R and cloud technologies, Andrea has led ML-driven multi-omics integrations for biotech clients at BioLizard and now advances translational research at VIB Medical Biotechnology Center. His background in ranking theory (PhD) and earlier BI and app development work gives him a rare mix of theoretical rigor and production awareness. He is actively seeking opportunities to apply this blend of computational methods and domain knowledge to cutting-edge bioinformatics and data science challenges.
11 years of coding experience
11 years of employment as a software developer
M.Sc Computer Science with emphasis in Bioinformatics, M.Sc Computer Science with emphasis in Bioinformatics at Università di Trento
B.Sc Computer Science, B.Sc Computer Science at Alma Mater Studiorum – Università di Bologna
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at ICT University of Trento
A modest Feature Finder (moFF) to extract MS1 intensities from Thermo raw file
Contributions:6 releases, 302 commits, 13 PRs in 6 years 7 months
modestms1finder
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Andrea Argentini - Senior Post-Doc at VIB Medical Biotechnology Center