Sacha Epskamp is an Associate Professor at the National University of Singapore with 15 years of experience at the intersection of psychological methods, psychometrics, and computational statistics. He built influential R software (including qgraph and semPlot) and has a strong open-source footprint, notably contributing back-end statistical engine work to the widely used JASP desktop for Bayesian and frequentist analysis. His research pioneered network psychometrics—recasting psychological constructs as interacting systems—and has driven methodological advances in dynamic modeling and adaptive testing. He has held editorial roles at leading journals and led a research centre on urban mental health, demonstrating an unusual blend of theoretical rigor, software engineering, and applied public-health focus. Comfortable moving between R-package development, SEM/SEM visualization, and large-scale data analysis, he brings reproducible, production-ready tools to complex psychological questions. Colleagues describe him as a rare scholar-engineer who turns methodological innovation into widely adopted, usable software.
15 years of coding experience
8 years of employment as a software developer
High School, High School at Erfgooiers College
Master's Degree, Psychology (two year research master programme), Cum Laude, Master's Degree, Psychology (two year research master programme), Cum Laude at University of Amsterdam
Elementary School, Elementary School at Gouden Kraal
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
Contributions:6 commits, 4 PRs, 16 comments in 3 years 4 months
Contributions summary:Sacha contributed significantly to the back-end functionality of the JASP-desktop project. Their work included implementing and modifying core components within the R engine and related files for statistical analysis. They focused on refactoring and improving the Structural Equation Modeling (SEM) implementation, adding new features, and refining existing code related to the generation of statistical outputs. The user also appears to have addressed cross-compatibility issues to support an older version of GCC.
Contributions:37 commits, 5 PRs, 76 pushes in 7 years 6 months
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