Summary
Mark Ravinet is an evolutionary biologist and Assistant Professor with 12 years’ experience using genomics, bioinformatics and statistical methods to dissect speciation, adaptation and gene flow. He has led hands-on population genomic projects across Europe and Japan—applying RAD-seq, whole-genome resequencing, coalescent inference and ABC—to reveal genomic regions under selection in sticklebacks and Littorina. Comfortable developing pipelines for HPC environments and teaching intensive bioinformatics courses, he combines rigorous quantitative analysis with large-scale field and experimental work. His career includes prestigious fellowships (Marie Skłodowska-Curie, JSPS) and a track record of designing sampling and association mapping efforts, reflecting a blend of computational depth and practical evolutionary ecology. An often-overlooked strength is his capacity to translate complex demographic inferences into testable ecological hypotheses, making his work both methodologically advanced and biologically insightful.
11 years of coding experience
4 years of employment as a software developer
University College London
Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology, Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology at Queen's University Belfast
Master's Degree, Freshwater and Coastal Sciences, Distinction, Master's Degree, Freshwater and Coastal Sciences, Distinction at Queen Mary, U. of London
English, Japanese, Norwegian