Nicholas Danks
Associate Professor
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolNicholas Danks is an Associate Professor and statistician with a decade of experience turning business challenges into deployable analytics solutions, blending academic rigor from a PhD in Data Analytics with practical commercial leadership. He built the open-source R package SEMinR for Partial Least Squares modeling and is fluent in R, Python and Ruby, regularly applying statistical learning to real-world decision problems. Prior to academia he led multinational operations and finance as a General Manager and qualified accountant, giving him deep domain insight into cash flow, international trade and sales growth. His research has been published in leading journals while his teaching and industry work emphasize scalable, reproducible analytics that drive business intelligence. Based in Dublin, he combines hands-on coding with methodological innovation to bridge research and operational impact.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Data Analytics, 4, Doctor of Philosophy - PhD, Data Analytics, 4 at National Tsing Hua UniversityUniversity of South Africa
Chinese, Afrikaans, English
Github Skills (39)
missing-data10
r10
lavaan10
construct10
linear-models10
covariance10
meta-analysis10
least-squares10
statsmodels10
partial10
equation10
pls9
prediction9
hmac7
crypto6
Programming languages (2)
Github contributions (5)
sem-in-r/pls-predict
Jun 2018 - Feb 2020
PLS-PM estimation and prediction library
Contributions:23 PRs, 40 pushes, 18 branches in 1 year 7 months
pythonplspredictionmachine-learningestimation
sem-in-r/seminr
Aug 2016 - Oct 2022
Natural feeling domain-specific language for building structural equation models in R for estimation by covariance-based methods (like LISREL/Lavaan) or partial least squares (like SmartPLS)
Contributions:4 reviews, 370 commits, 219 PRs in 6 years 2 months
linear-modelspartial-least-squaresfeelingdomain-specific-languagestatsmodels
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