Andrew Parnell
Met Éireann UCD Full Professor Of Data Science For Weather And Climate
Dublin, Dublin 1, Ireland
Summary
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Senior🎓
Top SchoolAndrew Parnell is the Met Éireann UCD Full Professor of Data Science for Weather and Climate with over a decade of experience bridging statistical research, applied machine learning, and operational climate science. He has held senior academic leadership roles including Hamilton Professor and Director of the Hamilton Institute, and has steered industry-facing AI work as Chief Scientific Officer at Prolego Scientific, applying ML to genetics and animal health. With a PhD in Statistics from Sheffield and a background rising through academic ranks at UCD and Maynooth, he combines rigorous probabilistic modelling with practical impact on weather and climate decision-making. Less obvious is his track record of translating statistical methods into commercial products—evident from Prolego—and guiding interdisciplinary teams across academia and industry to deploy data-driven solutions for environmental and bioscience problems.
10 years of coding experience
2 years of employment as a software developer
Rickmansworth SchoolDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at The University of SheffieldMSc, Statistics, Distinction, MSc, Statistics, Distinction at University of Kent
Github Skills (51)
mixing10
r-package10
statistical-inference10
linear-models10
bayesian10
statsmodels10
jags10
ellipse9
jackson9
bart8
hamilton8
graphical-user-interface8
survival-analysis7
variable-selection7
user-interface7
Programming languages (3)
Github contributions (5)
andrewcparnell/Bchron
Aug 2015 - Apr 2022
A Bayesian radiocarbon chronology model with R
Contributions:4 releases, 282 commits, 3 PRs in 6 years 9 months
r-packagerstatsradiocarbonbayesianchronology
andrewcparnell/OPSCC
Apr 2020 - Jul 2021
Contributions:11 commits, 5 pushes, 1 branch in 1 year 3 months
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