Author

Joe Christensen

Aarhus UniversityORCID 0009-0007-0908-1299Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Approach:experimental assay· 1

Activity by Year

2026-2026 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 5, 2026

European LD proxies lose tagging for 43% of GWAS leads in the African panel: a chromosome 22 analysis with SwiftLD, an 826-fold faster, byte-identical vcftools LD

Joe Christensen

SwiftLD, a faster alternative to vcftools for computing LD, shows European LD proxies poorly tag 43% of GWAS leads in African populations.

DOI 10.64898/2026.11.04.760946

deep learningbenchmarking

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 29, 2026

SwiftNJ: Fast Exact Neighbour Joining via Correctness-Gated Coding Agents

Joe Christensen

This paper evaluates a correctness-gated coding agent for improving the runtime of the Neighbour Joining algorithm in phylogenetics, showing significant speedup on benchmark datasets.

DOI 10.64898/2026.05.28.728410

experimental assaybenchmarking

𝕏 PostBluesky