Alexandra Sarafoglou is an assistenzprofessor at the University of Amsterdam with nine years of research experience in psychological methods, cognitive modeling, and Bayesian statistics. She progressed from PhD student to postdoc and now faculty while contributing to JASP as a developer, where she implemented Bayesian multinomial tests and co-authored influential JASP guidance papers. Her work blends rigorous statistical methodology with practical tools—she has built R Shiny teaching apps and produced tutorials to make advanced analyses accessible. Based in Amsterdam, she emphasizes open scientific practices and reproducibility across her teaching and research. Notably, she combines hands-on software development (R, Qt, C++, JavaScript) with deep methodological expertise, bridging code and cognitive science.
9 years of coding experience
9 years of employment as a software developer
University of California, Irvine
Bachelor of Science (B.Sc.), Psychology, Bachelor of Science (B.Sc.), Psychology at University of Tübingen
Research Master Psychology, Research Master Psychology at Universiteit van Amsterdam
3-Month Research Visit at the Cognitive Aging Lab, 3-Month Research Visit at the Cognitive Aging Lab at Universität Mannheim
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
Contributions:7 PRs, 142 pushes, 27 branches in 2 years 10 months
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Alexandra Sarafoglou - Assistenzprofessor at University of Amsterdam