Local Network Lead For Exeter at UK Reproducibility Network (UKRN)
United Kingdom
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Summary
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Senior
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Top School
Marina Vabistsevits is a research-focused data scientist and genetic epidemiologist with nine years of experience translating large-scale genomic data into actionable insights. Currently leading Exeter’s UK Reproducibility Network locally and driving analyses of common and rare variant genetics of female reproductive ageing at the University of Exeter, she combines GWAS and WGS expertise across UK Biobank and All of Us cohorts. Her PhD work at Bristol fused graph database approaches (EpiGraphDB/Neo4j) with Mendelian randomization to untangle breast cancer aetiology, reflecting a strength for triangulating diverse evidence sources. Earlier roles at Living DNA and Public Health England honed her bioinformatics pipeline development, R and Python tooling, and applied epidemiology under real-world constraints. She has a solid computational foundation from an MSc in Bioinformatics and a BSc in Biochemistry, and is noted for improving consumer ancestry inference by rebuilding reference genotype resources. Colleagues rely on her for rigorous, reproducible analyses that bridge methodological innovation and practical impact.
9 years of coding experience
7 years of employment as a software developer
Master of Science (MSc) Bioinformatics, Master of Science (MSc) Bioinformatics at Københavns Universitet - University of Copenhagen
Bachelor of Science (BSc) Biochemistry, Bachelor of Science (BSc) Biochemistry at University of Bath
Doctor of Philosophy - PhD Population Health Science Genetic Epidemiology and Data Mining, Doctor of Philosophy - PhD Population Health Science Genetic Epidemiology and Data Mining at University of Bristol
Contributions:1 release, 347 commits, 150 pushes in 2 years
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Marina Vabistsevits - Local Network Lead For Exeter at UK Reproducibility Network (UKRN)