Mike Keehan

Public Health Data Analyst

Waikato, New Zealand
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Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
bookPgDipSc, Science, PgDipSc, Science at Massey University
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Github Skills (62)

sequence-alignment10
fm-index10
pedigree10
infectious-diseases10
sequencing10
bioinformatics10
genomics10
sequence10
simulate9
fst9
structural-variation9
genome-analysis9
genome8
csv8
julia8

Programming languages (7)

JuliaShellC++CScalaJavaScriptPython

Github contributions (5)

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mdkeehan/vg

Apr 2017 - Sep 2021

tools for working with variation graphs
Contributions:2 PRs, 2 pushes, 3 branches in 4 years 6 months
graphsvariationdatamininggraph
mdkeehan/XSim.jl

Apr 2020 - Jan 2022

simulate sequence data and complicated pedigree structures
Contributions:1 PR, 11 pushes, 14 branches in 1 year 9 months
sequencecrosswordsbmlpedigreefst
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