Tommi Mäklin is a researcher in Oslo with 11 years’ experience at the intersection of genomics, bioinformatics and statistical machine learning, currently investigating the ecology, evolution and epidemiology of bacteria linked to colorectal and urinary tract cancers. He combines a PhD in Computer Science with deep probabilistic modelling and scalable software development for metagenomic sequencing, producing tools that resolve multiple bacterial strains within samples. His postdoc work enabled large-scale comparative studies of Escherichia coli diversity across income settings and tied microbial variation to population-level cancer incidence—an example of translating microbial ecology into public health insight. Tommi has contributed to pathogen genomics software at EMBL-EBI and built reproducible methods that make genomic epidemiology tractable from metagenomes. Beyond academia he has run consulting projects and co-organized Finland’s largest Data Science Day, reflecting a blend of hands-on coding, statistical rigor and community building. Colleagues value his ability to turn complex probabilistic ideas into efficient, usable software for real-world microbial surveillance and research.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Helsinki
Spectral Burrows-Wheeler transform accelerated local alignment search.
Contributions:9 releases, 12 reviews, 45 PRs in 6 months
bioinformaticsgenomicskborustsbwt
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