Samuele Soraggi
Informationssikkerhedskoordinator
Aarhus, Central Denmark Region
Summary
👤
Senior🎓
Top SchoolSamuele Soraggi is an informationssikkerhedskoordinator and data scientist with a PhD in statistics and a decade of experience applying applied mathematics to bioinformatics and OMICS data. Based in Aarhus, he blends deep statistical modelling and probabilistic tooling (Python, R, PyMC) with practical deployment skills—containerization, HPC and reproducible pipelines for NGS and single-cell RNA-seq. He has moved between research and operational roles at Aarhus University and University of Copenhagen, training researchers, building course infrastructure, and standing up local information security management. Curious about languages and algorithms, he routinely explores new programming paradigms and both classical and modern machine learning techniques to translate complex data problems into efficient software. A less obvious strength is his combination of hands-on pipeline engineering with formal information security coordination, enabling secure, scalable research computing workflows.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Statistik, Doctor of Philosophy - PhD Statistik at Københavns Universitet - University of CopenhagenMaster's degree Anvendt matematik, Master's degree Anvendt matematik at University of Genoa
italiensk, English, Danish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (62)
hidden10
transcriptomics10
single-cell-analysis10
bioinformatics10
markov10
scanpy10
python9
coverage9
machine-learning9
scales9
rna-velocity9
biological-data-analysis9
rna-seq8
meta-analysis8
data-science8
Programming languages (7)
Github contributions (5)
hds-sandbox/course-template
Apr 2023 - Apr 2025
A course template for Sandbox courses
Contributions:1 PR, 31 pushes, 7 branches in 1 year 11 months
SamueleSoraggi/HMMploidy
Feb 2018 - Nov 2022
A tool to calculate ploidy levels from genotype likelihoods and coverage using Hidden Markov Models
Contributions:1 release, 56 commits, 4 PRs in 4 years 10 months
genotype-likelihoodsgenotypecoveragehidden-markov-modelslevels
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