John Bryant
Bayesian Demographer at Bayesian Demography Limited
Canterbury, New Zealand
Summary
👤
Senior🎓
Top SchoolJohn Bryant is a Bayesian demographer and data scientist with over a decade of experience applying statistical programming and official-statistics practice to population estimation and forecasting. He co-authored the 2018 book Bayesian Demographic Estimation and Forecasting and now leads Bayesian Demography Limited, designing and implementing systems for local-level population estimation. His recent collaborations include building a new system for the UK Office for National Statistics and developing life-expectancy methods for Aboriginal and Torres Strait Islander Australians with the Australian Institute of Health and Welfare. With a PhD in Demography from ANU and prior senior roles at Statistics New Zealand and The Treasury, he blends rigorous academic training with public-sector impact. He is based in Canterbury, New Zealand, and is known for translating complex Bayesian models into practical, auditable systems used by national statistical agencies.
10 years of coding experience
11 years of employment as a software developer
Australian National University
English, Lao, Thai
Github Skills (6)
bayesian10
forecasting9
time-series8
census8
statistics8
data-structures7
Programming languages (1)
Github contributions (5)
bayesiandemography/bage
Jan 2023 - Apr 2025
Contributions:252 pushes, 5 branches, 80 comments in 2 years 3 months
StatisticsNZ/demdata
Oct 2016 - Oct 2019
Contributions:24 commits, 24 pushes, 1 branch in 3 years 1 month
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