Martin Machyna is a Bioinformatics Data Scientist with nine years of experience bridging molecular biology and machine learning to extract actionable insight from high-throughput sequencing data. After a PhD in molecular biology and roles at MPI-CBG and Yale School of Medicine, he now applies statistical rigor and computational pipelines at the Paul-Ehrlich-Institut to support data-driven hypothesis testing. He enjoys mentoring colleagues to refine experimental designs and overcome technical hurdles, thriving in multidisciplinary teams where biology and data science meet. An accomplished speaker and writer, he brings both hands-on wet-lab understanding and production-ready bioinformatics expertise, making him effective at translating complex biological problems into reproducible computational solutions.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Molecular Biology, Doctor of Philosophy - PhD, Molecular Biology at Technische Universität Dresden
Mgr., Cellular and Developmental Biology, Mgr., Cellular and Developmental Biology at Charles University
Contributions:14 commits, 13 pushes, 1 branch in 1 year 7 months
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