Veit Schwämmle is an Associate Professor and computational proteomics researcher with over a decade of experience building statistical models and software pipelines to quantify post-translational modifications from mass spectrometry data. Trained in statistical physics (PhD, Universität Stuttgart), he bridges physics, statistics and bioinformatics to model epigenetic landscapes at chromosome scale and simulate mechanisms of gene regulation, DNA repair and differentiation. He has authored 50+ peer-reviewed papers in journals including Nature, PNAS and Molecular & Cell Proteomics, and develops robust, production-ready tools—contributing MaxQuant integration to the widely used nf-core/modules and packaging bioinformatics recipes for Bioconda. Known for translating diverse experimental datasets into reproducible computational workflows, he combines deep theoretical insight with practical DevOps and Nextflow DSL2 pipeline engineering. Colleagues value his multidisciplinary fluency, from geomorphology and linguistics to evolution theory, which informs creative model-building beyond conventional bioinformatics.
10 years of coding experience
PhD, Statistical Physics, PhD, Statistical Physics at Universität Stuttgart / University of Stuttgart
Korntal
German, English, Spanish, Portuguese, Danish, French
Repository to host tool-specific module files for the Nextflow DSL2 community!
Role in this project:
Bioinformatician / Pipeline Developer
Contributions:7 reviews, 48 commits, 1 PR in 6 months
Contributions summary:Veit primarily contributes to the development and integration of the MaxQuant module within the nf-core/modules repository, building tools for proteomics data analysis. They added the MaxQuant module and implemented a basic version, making multiple iterations to refine functionality and address testing issues. The user demonstrates expertise in Nextflow DSL2 module development and in the software MaxQuant.
Contributions:2 reviews, 11 commits, 15 PRs in 2 years 6 months
Contributions summary:Veit contributed to the build and configuration of bioinformatics recipes within the Bioconda repository. Their commits primarily involve modifying `build.sh` files and associated Python scripts. They updated file paths, added dependencies, and adjusted permissions to ensure proper package execution and integration, focusing on projects like `polystest`, `vsclust`, `searchgui` and `peptide-shaker`. These changes suggest a focus on automating the build and deployment of bioinformatics tools using Conda.
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