Koen Derks
Assistant Professor at Nyenrode Business Universiteit
Amsterdam, North Holland, Netherlands
Summary
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Rockstar🎓
Top SchoolKoen Derks is an Assistant Professor and developer with nine years of experience at the intersection of Bayesian statistics, auditing, and open-source software. He leads development of JASP for Audit and the jfa R package, translating modern Bayesian methods into user-friendly tools that help auditors move beyond outdated techniques. His work on JASP’s back end—especially implementing robust error handling and a Bayesian t-test—reflects a blend of rigorous research and pragmatic engineering. Based in Amsterdam, he combines a PhD in statistics with a background in psychological methodology and machine learning, enabling novel approaches to algorithmic and data auditing. Colleagues know him for making advanced statistical methods accessible and for prioritizing reproducible, freely available tools that lower the barrier for evidence-based audit practice.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Nyenrode Business UniversiteitVWO, Natuur & Techniek + Natuur en Gezondheid, VWO, Natuur & Techniek + Natuur en Gezondheid at HuizermaatMaster of Science - rMSc, Research Master Psychology, Master of Science - rMSc, Research Master Psychology at Universiteit van Amsterdam
Dutch, English
Github Skills (5)
statistics10
error-handling10
r10
bayesian9
bayesian-statistics9
Programming languages (6)
Github contributions (5)
jasp-stats/jasp-desktop
Jun 2017 - May 2022
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 reviews, 99 commits, 101 PRs in 4 years 11 months
Contributions summary:Koen contributed significantly to the implementation of error handling within the statistical package. This involved modifying existing code to incorporate error checks for various statistical tests. The user's work focused on the R code, specifically within paired and independent samples t-tests. The user also addressed comments and refined error handling, as well as implementing a bayesian t-test and also worked on making changes related to the jasp-engine.
bayesianspssjaspstatisticsfreesoftware
koenderks/sfb
Nov 2020 - Apr 2022
Contributions:4 releases, 70 pushes, 2 tags in 1 year 4 months
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