Mark Wheldon is a statistician and demographer with a Ph.D. from the University of Washington and nine years of professional experience applying Bayesian methods and complex modelling to population and health research. At the United Nations he develops population estimates and projections and previously led Bayesian hierarchical modelling for contraceptive prevalence in a Gates Foundation–funded project, translating noisy and big data into actionable policy insights. He combines deep technical fluency in R and SAS with a track record of training non-statisticians and publishing scholarly work, bridging technical and policy audiences. Prior academic roles in New Zealand and the U.S. underpin his strengths in teaching, communication and developing social indicators from census microdata — a background that helps him see demographic patterns other analysts might miss.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of Washington
Bachelor of Science (BSc), Statistics and Psychology, Bachelor of Science (BSc), Statistics and Psychology at University of Canterbury
Master of Science (M.Sc.), Statistics, Hons 1st Class, Master of Science (M.Sc.), Statistics, Hons 1st Class at University of Auckland
Provides functions for working with files and objects associated with FPEMglobal.
Contributions:9 releases, 6 PRs, 78 pushes in 2 years 7 months
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