Mikkel Schubert
Bioinformatiker
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolMikkel Schubert is a bioinformatician with 14 years of experience developing robust software, models, and pipelines for high-throughput sequencing and multi-omics analyses. He holds a PhD in Evolutionary Genomics and combines academic rigor with production-focused engineering at institutions such as the Novo Nordisk Foundation Centers and the Centre for GeoGenetics. Mikkel excels at optimizing core bioinformatics tools—evidenced by contributions improving performance and error handling in the widely used rust-bio library—and at making analyses reproducible and accessible through documentation and training. His work spans algorithm development for ancient DNA and hybrid detection, large-scale data processing on Illumina platforms, and maintaining researcher infrastructure. Pragmatic about software as a craft, he continuously adopts new technologies to raise code quality and project efficiency. Colleagues rely on him for solutions that bridge cutting-edge research questions and dependable, usable software.
13 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Biology, Bachelor’s Degree, Biology at University of CopenhagenDoctor of Philosophy (Ph.D.), Evolutionary Genomics, Doctor of Philosophy (Ph.D.), Evolutionary Genomics at Københavns Universitet
English, Danish
Github Skills (11)
algorithm10
file-handling10
file-processing10
data-structures10
bioinformatics10
algorithms10
rust10
file-access10
fileio10
data-structure10
testing9
Programming languages (7)
Github contributions (5)
rust-bio/rust-bio
Mar 2017 - Apr 2017
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits, 4 PRs, 8 comments in 1 month
Contributions summary:Mikkel primarily focused on improving the `rust-bio` library's performance and stability. They optimized the `IndexedReader` for faster FASTA file reading by avoiding unnecessary seeks and refactored its internal structure. Furthermore, they addressed potential panics by implementing better error handling and added an iterator for more flexible sequence access. Their contributions demonstrate a deep understanding of the library's core functionalities and a commitment to enhancing its reliability.
implementationspythoncontinuousalgorithms-and-data-structuresbioinformatics
cbmr-data/cbmr-data.github.io
Mar 2024 - Mar 2025
CBMR Documentation
Contributions:3 releases, 2 PRs, 47 pushes in 1 year
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