Liam Brierley
Research Fellow at University of Glasgow
Glasgow, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolLiam Brierley is a research fellow leading the Viral Informatics, Biostatistics, and Evolution (VIBE) lab at the MRC–University of Glasgow Centre for Virus Research, specializing in computational approaches to cross-species transmission of RNA viruses. With nine years of research experience across institutions including Liverpool, Edinburgh and Coventry, he combines evolutionary biology, epidemiology and machine learning to map host and geographic ranges, predict genotype-to-phenotype links, and automate extraction of host–virus data. His work emphasizes macro-scale patterns across diverse vertebrate virus families and translates into practical risk assessment frameworks for pandemic preparedness. Liam’s background—PhD in Evolutionary Biology, an MSc in Modern Epidemiology (Distinction), and a Cambridge degree in Natural Sciences—underpins a rare blend of statistical rigour and computational innovation. Notably, he is exploring large language models and data-mining tools to close systematic data gaps, turning messy literature into analysis-ready datasets.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Evolutionary Biology, Doctor of Philosophy (PhD), Evolutionary Biology at The University of EdinburghMaster of Science (MSc), Modern Epidemiology, Distinction, Master of Science (MSc), Modern Epidemiology, Distinction at Imperial College LondonMaster of Arts (MA), Natural Sciences (Zoology), Class I, Master of Arts (MA), Natural Sciences (Zoology), Class I at University of Cambridge
English
Github Skills (2)
ropensci10
react4
Programming languages (2)
Github contributions (5)
preprinting-a-pandemic/pandemic_preprints
Apr 2020 - Apr 2021
preprint now available:
Contributions:38 commits, 36 pushes in 11 months
react
lbrierley/epi_preprint
Feb 2020 - Jan 2021
Contributions:24 commits, 22 pushes, 1 branch in 10 months
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