Richard Morey
Senior Lecturer at Cardiff University / Prifysgol Caerdydd
Cardiff, Wales, United Kingdom
Summary
👤
Senior🎓
Top SchoolRichard Morey is a Senior Lecturer and researcher based in Cardiff with 16 years' experience applying Bayesian hierarchical models to experimental psychology and cognitive science. He combines deep methodological expertise in statistical inference with practical scientific-software development, including contributions to the widely used jstat JavaScript statistics library where he improved numerical stability and added critical functions for edge-case accuracy. At Cardiff and previously Groningen he teaches and manages curriculum in statistics and research methods while delivering training in advanced Bayesian multilevel techniques. His background spans a PhD in Cognition and Neuroscience and an MA in Statistics, giving him rare fluency across theory, computation, and pedagogy. Colleagues value that he not only develops rigorous models but also packages them into reliable tools for research use.
17 years of coding experience
6 years of employment as a software developer
BA Music, BA Music at Florida State UniversityUniversity of Missouri
Github Skills (15)
algorithm10
data-structures10
statistics10
algorithms10
javascript10
mathematical10
lib10
numerical-methods10
stat10
distributions10
statistic10
modeling10
data-structure10
testing9
unit-testing9
Programming languages (7)
Github contributions (5)
jstat/jstat
Jan 2012 - Feb 2012
JavaScript Statistical Library
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:12 commits in 1 month
Contributions summary:Richard primarily focused on enhancing the `jstat` library, a JavaScript statistical library, by improving the numerical stability of calculations within various statistical distributions. Their work included converting computations to log space to prevent underflow/overflow issues and adding new functions such as `betaln()`, `combinationln()`, and the central F distribution. They also corrected errors in existing statistical functions, added new distributions, updated unit tests, and improved the accuracy of existing functions, specifically focusing on edge cases.
javascript
richarddmorey/BayesFactorExtras
Sep 2014 - Jan 2020
Contributions:31 commits, 3 PRs, 12 pushes in 5 years 4 months
r-packagebayesfactor
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