Matthias Zepper

Bioinformatician & Systems Developer

Stockholm, Sweden
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Summary

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Matthias Zepper is a bioinformatician and systems developer with 10 years’ experience building reproducible analysis pipelines and infrastructure for high-throughput sequencing at SciLifeLab in Stockholm. He combines deep computational biology training (Dr. rer. nat.) with hands-on software engineering, contributing backend fixes and new modules to prominent open-source tools like MultiQC to improve error handling and data aggregation across large sample sets. Matthias has startup experience exploring cloud data engineering and novel ways to marry DNA-driven workflows with modern storage and ML architectures to close the “digital divide” in molecular biology. His background spans academic tumor biology research, scientific/regulatory medical writing, and production-grade core-facility software—making him fluent at translating complex life-science problems into reliable, scalable software solutions.
code10 years of coding experience
job6 years of employment as a software developer
bookDipl.-Mol.Biomed. (equivalent to a M.Sc.), Life and Medical Sciences, Dipl.-Mol.Biomed. (equivalent to a M.Sc.), Life and Medical Sciences at Rheinische Friedrich-Wilhelms-Universität Bonn
bookDr. ner.nat, Computational biology, Dr. ner.nat, Computational biology at Westfälische Wilhelms-Universität Münster
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Github Skills (5)

bioinformatics10
python10
data-analysis9
yaml7
json7

Programming languages (12)

MDXTypeScriptJavaShellJinjaRustMakefileJavaScript

Github contributions (5)

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MultiQC/MultiQC

Nov 2021 - Feb 2022

Aggregate results from bioinformatics analyses across many samples into a single report.
Role in this project:
userBack-end Developer
Contributions:3 reviews, 13 commits, 5 PRs in 2 months
Contributions summary:Matthias primarily focused on improving the `multiqc` codebase, specifically within the `utils` and `modules` directories. Their contributions included bug fixes related to data handling, specifically in how data is written to files, and improvements to error handling. They also added an initial skeleton for the new Anglerfish module, demonstrating an understanding of the project's overall structure and purpose. Furthermore, they resolved an issue within the skewer module.
multiqcpythonpypianalysesbioconda
MatthiasZepper/dds_web

Sep 2021 - Oct 2023

A cloud-based system for the delivery of data from SciLifeLab Facilities to their users (e.g. research group).
Contributions:4 reviews, 8 PRs, 157 pushes in 2 years 1 month
djangopythonresearch-groupfacilities
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Matthias Zepper - Bioinformatician & Systems Developer