Mikhail Kolmogorov is a tenure-track investigator at the National Cancer Institute with 13 years of experience building algorithms for computational genomics, specializing in genome assembly, long-read sequencing technologies, and comparative genomics. Trained as a bioinformatics PhD at UC San Diego and with postdoctoral experience at UCSC, he bridges rigorous academic research with practical tool development and production packaging. He maintains and actively develops key open-source assemblers Flye and Ragout, and has contributed build and packaging fixes to the widely used Bioconda ecosystem to ensure reproducible deployment of bioinformatics software. Based in Bethesda, he combines deep applied-math roots from ITMO with hands-on sequencing domain expertise, enabling robust algorithmic solutions that scale to real genomic datasets. Notably, his profile reflects both foundational research outputs and the often-overlooked operational work of keeping tools installable and reliable for the community.
13 years of coding experience
University of California San Diego
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at ITMO University
Master's degree, Bioinformatics, Master's degree, Bioinformatics at St. Petersburg University of Russian Academy of Sciences
Contributions:9 reviews, 13 commits, 43 PRs in 2 years 1 month
Contributions summary:Mikhail contributed to the `bioconda/bioconda-recipes` repository by modifying build scripts and patching files related to various bioinformatics packages, specifically focusing on Flye and Ragout. They addressed build errors, updated package versions, and made adjustments to compilation flags and dependencies. Furthermore, they added a new recipe for the Severus package. These changes reflect a focus on ensuring the proper building, packaging, and integration of bioinformatics software within the Bioconda environment.
Contributions:29 releases, 1764 commits, 28 PRs in 6 years 10 months
single-moleculeassemblermoleculesequencinggraphs
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