Emilio Righi
Software Developer at Centre for Genomic Regulation (CRG)
Barcelona, Catalonia, Spain
Summary
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Rockstar🎓
Top SchoolEmilio Righi is a software developer based in Barcelona with 13 years of experience bridging bioinformatics research and production engineering. Originally trained and published in molecular biology and bioinformatics, he now focuses on Java and Python development, bringing domain knowledge of genomic pipelines to software projects. At CRG he applies that hybrid expertise to build robust, reproducible tools and has contributed to Nextflow by improving cluster executor compatibility, Docker behavior, HTML reporting, and Google Cloud storage access. His background in lab techniques and hands-on pipeline integration gives him a practical edge when translating complex scientific workflows into maintainable, scalable software.
13 years of coding experience
3 years of employment as a software developer
Laurea triennale, Biotecnologie, Laurea triennale, Biotecnologie at Università degli Studi di Milano-BicoccaLaurea Magistrale LM, Biologia molecolare, 110/110 cum laude, Laurea Magistrale LM, Biologia molecolare, 110/110 cum laude at Università degli Studi di Pavia
Italian, English, Spanish, French
Stackoverflow
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0reached
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Github Skills (16)
docker10
workflow-engine10
slurm10
dockers10
groovy10
pipeline-framework10
aws9
automation-testing9
reproducible-science9
cloud-computing9
automation9
automations9
cloud-infrastructure9
infrastructure9
reproducible-research9
Programming languages (16)
Github contributions (5)
nextflow-io/nextflow
Oct 2014 - Jun 2020
A DSL for data-driven computational pipelines
Role in this project:
DevOps Engineer
DevOps EngineerContributions:24 commits, 7 PRs, 37 pushes in 5 years 9 months
Contributions summary:Emilio primarily contributed to enhancing the execution and configuration of Nextflow pipelines, particularly focusing on integration with various cluster environments such as SGE, LSF, Slurm, and PBS. Their work involved adding and refining directives for CPU resource allocation across different executors, ensuring compatibility, and updating tests. Additionally, the user addressed Docker integration issues, improved the HTML report, and implemented Google Cloud bucket access functionalities, which improved the overall usability and flexibility of the platform.
singularity-containersbioinformaticsawsdataflowslurm
grape-pipeline/grape
Apr 2013 - Jan 2015
Contributions:394 commits, 1 push, 1 branch in 1 year 9 months
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