Stijn Van Dongen is a Principal Data Operations Engineer based in Cambridge with over eight years of experience building high-performance bioinformatics software and data infrastructure. He specializes in algorithm and workflow development for large-scale genomic data, leveraging C, R, Nextflow, and Linux batch systems to deliver robust, distributed pipelines. His work includes authoring widely used scientific tools—MCL, Sylamer and contributing to Kraken—demonstrating a rare blend of discrete mathematics, network analysis and practical engineering. Comfortable across low-level HPC and scripting ecosystems (Perl, Python, Bash), he also emphasizes clear communication through tutoring, documentation and cross-disciplinary collaboration. A PhD in Computational and Applied Mathematics informs his rigorous approach to algorithm design and statistical computing. Colleagues rely on him to tame messy, massive datasets and translate complex methods into repeatable production workflows.
8 years of coding experience
21 years of employment as a software developer
Master's degree Mathematics, Master's degree Mathematics at Eindhoven University of Technology
Doctor of Philosophy - PhD Computational and Applied Mathematics, Doctor of Philosophy - PhD Computational and Applied Mathematics at Utrecht University
Contributions:25 commits, 16 pushes, 1 branch in 1 year 6 months
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Stijn Van Dongen - Principal Data Operations Engineer