Luca Pireddu
Senior Researcher, Coordinator Of The Scalable Computing And Analytics Group
Cagliari, Sardinia, Italy
Summary
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Rockstar🎓
Top SchoolLuca Pireddu is a senior researcher and leader with 15 years of experience building scalable distributed systems and high-throughput bioinformatics applications from research prototype to production. Based in Cagliari, Sardinia, he currently coordinates the Scalable Computing and Analytics Group at CRS4 after leading its Distributed Computing Group and contributing deep expertise in algorithms, DevOps and cloud-enabled pipelines. His background spans chemoinformatics, pathway prediction and IPTV client development, reflecting a rare blend of domain science and practical engineering. An active contributor to CloudBioLinux, he has hands-on experience packaging complex bioinformatics dependencies and solving OS- and cluster-level installation issues for sequencing workflows. Luca holds a PhD in Bioengineering and an MSc in Bioinformatics, pairing academic rigor with a track record of operationalizing research at scale.
15 years of coding experience
16 years of employment as a software developer
M.Sc., Computing Science, Bioinformatics, M.Sc., Computing Science, Bioinformatics at University of AlbertaDoctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Università degli Studi di CagliariB.Sc., Computing Science, B.Sc., Computing Science at Laurentian University/Université Laurentienne
English, Italian, Spanish
Github Skills (9)
fabric10
python10
devops9
linux9
cloud-computing8
hadoop8
rpm7
yum7
bioinformatics6
Programming languages (23)
Github contributions (5)
chapmanb/cloudbiolinux
Mar 2012 - Mar 2012
CloudBioLinux: configure virtual (or real) machines with tools for biological analyses
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:15 commits in 8 days
Contributions summary:Luca primarily contributed to the "Seal" flavor, which installs dependencies for processing high-throughput sequencing data. Their work included setting up the initial flavor structure, adding dependencies like Java, Python, and Hadoop-related packages. They also fixed issues related to installing on Scientific Linux and added Cloudera repository. Furthermore, they made infrastructure related contributions by updating Pydoop installation, added repositories and fixed spelling errors.
analysesmachinesbioinformaticsconfigurebiological
HadoopGenomics/SeqPig
Jul 2012 - Jul 2014
Contributions:20 commits in 1 year 11 months
sequenceimport-and-exportbioinformaticssequencing-datadatasets
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