Alexandra Sarafoglou

Assistenzprofessor at University of Amsterdam

Amsterdam, North Holland, Netherlands
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
job9 years of employment as a software developer
bookUniversity of California, Irvine
bookBachelor of Science (B.Sc.), Psychology, Bachelor of Science (B.Sc.), Psychology at University of Tübingen
bookResearch Master Psychology, Research Master Psychology at Universiteit van Amsterdam
book3-Month Research Visit at the Cognitive Aging Lab, 3-Month Research Visit at the Cognitive Aging Lab at Universität Mannheim
github-logo-circle

Github Skills (24)

spss10
statistics10
bayesian10
kebab-case6
phonetics6
tuple6
rna-seq5
glossary5
r5
bioinformatics4
sequencing4
tidyr3
genomics3
philosophy3
rstudio2

Programming languages (5)

RCSSC++HTMLPython

Github contributions (5)

github-logo-circle
ASarafoglou/multibridge

Sep 2020 - Nov 2022

Contributions:1 release, 9 PRs, 102 pushes in 2 years 1 month
ASarafoglou/jasp-desktop

Feb 2017 - Dec 2019

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
statisticsstatisticalbayesian-statisticsaimsstatistical-methods
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Alexandra Sarafoglou - Assistenzprofessor at University of Amsterdam