Mike Keehan is a Public Health Data Analyst based in Waikato, New Zealand, with nine years of experience building decision-support systems and public health evidence platforms using R, Python, and Julia. He combines data analysis, engineering, and communication to answer the what, who, where, and when of human health, and applies bioinformatics methods to gene discovery and genomic selection in animal breeding. Comfortable across languages from C/C++ and Java to Julia and Linux tooling, he translates complex analytical requirements into auditable, production-ready solutions for health organisations. With advanced training in Operations Research (M.Phil and B.Tech Hons) and a postgraduate science diploma from Massey University, he brings rigorous quantitative thinking to public health problems. Colleagues describe him as the practical bridge between statistical modelling and operational decision-making, routinely turning research-grade code into policy-relevant outputs.
9 years of coding experience
PgDipSc, Science, PgDipSc, Science at Massey University
simulate sequence data and complicated pedigree structures
Contributions:1 PR, 11 pushes, 14 branches in 1 year 9 months
sequencecrosswordsbmlpedigreefst
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