Marjolein Fokkema is an Associate Professor in Methods & Statistics for Psychology with a decade of experience translating psychometric problems into practical statistical learning solutions. She specializes in tree-based methods, multilevel models and splines, and is the author of popular R packages such as glmertree and pre that bridge mixed-effects modelling with interpretable prediction rules. Her work focuses on improving clinical decision making and psychological assessment, informed by her role on the Dutch Committee on Testing Matters and as an associate editor at the European Journal of Psychological Assessment. Based in Amsterdam, she combines rigorous academic research, open-source software development, and hands-on teaching—bringing methodological innovation directly into practice and training the next generation of psychometricians.
10 years of coding experience
9 years of employment as a software developer
Propedeutical exam, Philosophy, Propedeutical exam, Philosophy at Vrije Universiteit Amsterdam
MSc, Psychology, MSc, Psychology at Vrije Universiteit Amsterdam (VU Amsterdam)
PhD, Psychometrics and Quantitative Psychology, PhD, Psychometrics and Quantitative Psychology at VU University Amsterdam
an R package for deriving Prediction Rule Ensembles
Contributions:3 releases, 112 commits, 14 PRs in 5 years 6 months
r-packageimlpredictionrulederiving
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