Postdoctoral Researcher at Cardiff University / Prifysgol Caerdydd
Bristol, England, United Kingdom
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Sam Neaves is a postdoctoral researcher and software-savvy bioinformatician with 11 years’ experience applying R, Python and machine learning to genetic epidemiology and causal inference. He has moved between academia and industry—spanning a PhD at King’s, genetic bioinformatics at Bristol, a senior research scientist role at Novo Nordisk, and a current postdoc at Cardiff—bridging methodological research and applied data science. His work focuses on Mendelian randomization and causal reasoning in epidemiology, combining rigorous computational workflows with domain knowledge to tackle questions in scarring and genetics. Colleagues describe him as curious and collaborative; outside the lab he’s an avid hiker, walrus enthusiast and owner of a Basset Hound, which speaks to a personality that balances analytical depth with approachable curiosity.
10 years of coding experience
7 years of employment as a software developer
First Class BSc (Hons) With Placement, Computer Science - Internet Communication Systems, First Class, First Class BSc (Hons) With Placement, Computer Science - Internet Communication Systems, First Class at Bournemouth University
Doctor of Philosophy, Bioinformatics, Doctor of Philosophy, Bioinformatics at King's College London
MSc, Computer Science - Machine Learning and Data Mining, MSc, Computer Science - Machine Learning and Data Mining at University of Bristol
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Sam Neaves - Postdoctoral Researcher at Cardiff University / Prifysgol Caerdydd