Joshua Stevenson is a Senior Data Analyst based in Australia with eight years' experience turning quantitative problems into actionable insight across government and academia. Currently at the Department for Education, Children and Young People, he applies a rigorous, research-driven approach informed by his PhD work in mathematical biology to policy-relevant data challenges. His background blends pure mathematics, statistics, and software design from a combined ICT and Science degree with hands-on research and tutoring at the University of Tasmania. Colleagues describe him as a maker who bridges theory and practice—comfortable building analysis pipelines, mentoring students, and translating complex models into clear recommendations. Unusually for an analyst, he is actively pursuing a PhD while delivering operational analytics, giving him deep domain knowledge in mathematical modelling alongside practical data product experience.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mathematical Biology, Doctor of Philosophy - PhD, Mathematical Biology at University of Tasmania
Python package that implements split- and rank-based tools for inferring phylogenies, such as flattenings and subflattenings.
Contributions:17 releases, 1 review, 241 commits in 3 years 1 month
pythonbiologyflatteningslinear-algebramathbio
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