Paolo Marangio
Data Engineer
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolPaolo Marangio is a Data Engineer with 8 years of interdisciplinary experience at the intersection of high-performance computing, bioinformatics and cloud platforms, currently contributing to Computational Social Science at the Barcelona Supercomputing Center. He combines two MSc degrees from the University of Edinburgh with hands-on roles across leading research institutes and industry—Max Planck, CRG, ASML, Atos—building Nextflow pipelines, parallelized MPI code, Azure-based APIs and DevOps automation for large user bases. Paolo has a strong research pedigree (published work and EU-funded projects like EUXDAT, GRAPEVINE, PrecisionTox) and a proven track record of translating scientific workflows into scalable production infrastructure. Comfortable in both HPC and cloud-native environments, he brings an unusual blend of wet-lab biotech insight and production-grade data engineering. Known for organization, communication and team-first work ethic, he also co-founded a microalgae startup and continues to bridge entrepreneurship with technical innovation.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS High Performance Computing with Data Science, Master of Science - MS High Performance Computing with Data Science at The University of EdinburghBachelor of Science - BS Biology/Biological Sciences General, Bachelor of Science - BS Biology/Biological Sciences General at Maastricht Science ProgrammeInternational Baccalaureate (IB), International Baccalaureate (IB) at UWC Maastricht
Italian, English, Spanish, Dutch
Stackoverflow
19reputation
7kreached
0answers
1question
Github Skills (68)
charts10
rna-seq10
hidden-markov-model10
probing10
vmware10
helm9
bitnami9
seq9
mnist9
bayesian-inference9
keras-neural-networks9
kubernetes9
bayesian9
mixed-models8
nextflow8
Programming languages (6)
Github contributions (5)
marangiop/unet
May 2019 - Aug 2021
unet for image segmentation
Contributions:2 PRs, 116 pushes, 119 branches in 2 years 2 months
image-segmentationimage-processingunetsegmentation
marangiop/diff_BUM_HMM
Sep 2019 - May 2021
Bayesian modelling approach for detecting RNA flexibility changes in high-throughput structure probing data under different conditions, based on an extension of the BUM-HMM method.
Contributions:3 releases, 187 commits, 13 PRs in 1 year 8 months
bayesian-inferencehidden-markov-modelrnaconditionsmethod
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