Jarno Alanko is a postdoctoral researcher specializing in data structures and algorithms for bioinformatics with over a decade of experience bridging academia and applied IT. He earned a PhD in computer science from the University of Helsinki and has developed algorithms for genome-scale and metagenomic analysis while teaching and supervising students. Beyond research, he runs a one-person IT consultancy maintaining commercial websites and publishes technical, hands-on projects—ranging from neural nets and DSP to cryptography and microcontrollers—in the Finnish magazine Skrolli, where he also serves as editor. His work combines rigorous theoretical foundations with practical engineering, and his public code and papers (GitHub and Google Scholar) reflect a habit of making complex tools and writeups accessible to broader audiences.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, with distinction, Doctor of Philosophy - PhD, Computer Science, with distinction at University of Helsinki
Master's degree, Computer Science, Master's degree, Computer Science at Aalto-yliopisto
Code for the paper Succinct k-mer Set Representations Using Subset Rank Queries on the Spectral Burrows-Wheeler Transform (SBWT)
Contributions:1 release, 209 commits, 3 PRs in 7 months
bwtindexingk-mers
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Jarno Alanko - Postdoctoral Researcher at University of Helsinki