Samuel Lampa
Bioinformatician
Stockholm, Stockholm County, Sweden
Summary
🤩
Rockstar🎓
Top SchoolSamuel Lampa is a bioinformatician and data engineer with 16 years of experience building production-grade pipelines and data platforms for clinical microbiology and life sciences. Currently at Karolinska University Hospital, he combines deep domain knowledge from a PhD in bioinformatics with hands-on MLOps and data engineering—having implemented solutions on Kubernetes/OpenShift, Kafka, Azure Databricks and DeltaLake. He is a longtime workflow and tooling contributor (notably to the SciPipe pipeline library) who focuses on robust, resource-efficient pipelines and improved auditability in complex ETL and computational workflows. His background spans HPC systems, QSAR and ML for drug discovery, and practical UI work with Streamlit/Plotly, giving him a rare mix of research rigor and production pragmatism. Colleagues rely on him for automating reproducible analyses and advising organizational ways-of-working in regulated environments. Outside core duties he continues to tinker with open-source projects around workflow orchestration and semantic data integration.
16 years of coding experience
17 years of employment as a software developer
Finished courses, Courses in media technology, Finished courses, Courses in media technology at Luleå tekniska universitet / Luleå University of TechnologyJohns Hopkins UniversityGymnasieexamen, Natural Sciences, Gymnasieexamen, Natural Sciences at Midskogsskolan, LuleåM.Sc, Molecular Biotechnology Engineering, M.Sc, Molecular Biotechnology Engineering at Uppsala University
Swedish, English, German
Stackoverflow
4,344reputation
618kreached
33answers
43questions
ant
top-5%
debugging
top-5%
eclipse
top-5%
Github Skills (20)
scripting10
work-flow10
workflow-engine10
script10
go10
sh10
error-handling10
shell10
debugging9
ant9
eclipse9
build-management8
release-management8
tmux6
system-calls6
Programming languages (28)
Github contributions (5)
scipipe/scipipe
Mar 2015 - Oct 2021
Robust, flexible and resource-efficient pipelines using Go and the commandline
Role in this project:
Back-end Developer
Back-end DeveloperContributions:50 releases, 4 reviews, 968 commits in 6 years 8 months
Contributions summary:Samuel primarily focused on developing core functionality and expanding the SciPipe pipeline library. They implemented and refactored shell-based tasks, creating new components and improving existing ones. These updates included adding new features like a stream to sub-stream component, path modifiers, and improved error handling to existing components. Additionally, they enhanced the audit logging and ensured the correct execution of the workflow under various scenarios.
cheminformaticsgolangflexiblepipelinescientific-workflows
samuell/scilight
May 2021 - Oct 2023
Contributions:2 releases, 32 pushes, 8 branches in 2 years 5 months
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