David Randell
Statistical Consultant
Amsterdam, North Holland, Netherlands
Summary
🎓
Top SchoolDavid Randell is an applied statistician with 8+ years’ experience advising industry and academia, currently a Statistical Consultant in Shell’s Statistics and Data Science group and a former Visiting Fellow at Durham University. He specializes in extreme value analysis and Bayesian methods, with a strong publication record on non-stationary extremes, spatial return levels, and variance learning for large-scale physical systems. His work blends practical industrial problem-solving—such as locating gas emissions and smart-well flow monitoring—with methodological advances in multidimensional covariate modelling. Based in Amsterdam, he brings deep domain expertise in ocean and storm extremes alongside hands-on experience deploying statistical models in engineering settings. Less obvious: his PhD research in Bayes linear variance learning underpins many of his applied approaches to inspection planning and uncertainty quantification.
7 years of coding experience
PhD, Bayes Linear Variance Learning for Mixed Linear Temporal Models, PhD, Bayes Linear Variance Learning for Mixed Linear Temporal Models at Durham University
Github Skills (7)
chemical-engineering3
hydrodynamics3
fluid3
computational-fluid-dynamics3
simulation3
dynamics3
fluid-dynamics2
Programming languages (3)
Github contributions (5)
ECSADES/ecsades-matlab
Jan 2019 - Oct 2019
Contributions:7 commits, 7 pushes in 9 months
sede-open/pyELQ
Apr 2024 - Sep 2024
The python Emission Localization and Quantification (pyELQ) code aims to maximize effective use of existing measurement data, especially from continuous monitoring solutions. The code has been developed to detect, localize, and quantify methane emissions from concentration and wind measurements.
Contributions:2 reviews, 1 PR, 3 pushes in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.