Martin Smith is a Professor of palaeontology and quantitative geoscience with 12 years of academic experience, developing Bayesian and R-based tools to extract evolutionary and stratigraphic signal from complex geological data. He leads the development of StratoBayes, a novel Bayesian platform that integrates fossils, geochemical and geophysical well-log data to produce reproducible subsurface correlations with quantified uncertainty. His research bridges paleobiology and sedimentary geoscience, focusing on Burgess Shale–type organisms and microscopic Small Carbonaceous Fossils to reconstruct biodiversity origins. Trained at Cambridge and the University of Toronto, he combines rigorous phylogenetic methods with open-source software practice, publishing several R packages for visualization and analysis. Based in England, he brings a rare mix of statistical modeling, software development, and field-informed paleontology to energy and academic applications.
12 years of coding experience
10 years of employment as a software developer
Master's Degree, Natural Sciences (Earth Sciences), I:i, Master's Degree, Natural Sciences (Earth Sciences), I:i at University of Cambridge
Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology, Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology at University of Toronto
Contributions:96 pushes, 3 issues in 3 years 4 months
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