Qixiang Fang
Postdoctoral Researcher at Utrecht University
Utrecht, Utrecht, Netherlands
Summary
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Senior🎓
Top SchoolQixiang Fang is a postdoctoral researcher and research scientist with nine years of experience at the intersection of statistics, psychometrics, and natural language processing. Based at Utrecht University, he combines rigorous methodological research—assessing construct validity of high-dimensional measurements—with applied projects for ODISSEI SoDa and the IMPROVE EU initiative. His background spans industry and academia, from developing user-behavior models during a Snap Inc. internship to implementing statistical modules (GLM, Bayesian logistic regression) for JASP. Qixiang’s work blends advanced Bayesian methods, measurement invariance, and practical data engineering, and he has a track record of award-winning thesis research and peer-reviewed outputs. Notably, he moves comfortably between visualization-driven pedagogy and production-ready tooling, making complex measurement problems both interpretable and actionable.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Methodology and Statistics, 8.41 (Cum Laude), Master of Science - MS, Methodology and Statistics, 8.41 (Cum Laude) at Utrecht UniversityBachelor's degree, Social Sciences and Psychology, 1.3, Bachelor's degree, Social Sciences and Psychology, 1.3 at Jacobs University Bremen
English, Chinese, Chinese, teochew, German, Dutch
Github Skills (28)
regression10
spss9
semantics9
statistics9
bayesian8
natural-language-processing8
asreview8
machine-learning8
r7
bayesian-statistics7
plot7
datasets7
discovery6
benchmark6
prisma6
Programming languages (5)
Github contributions (5)
fqixiang/fqixiang.github.io
Oct 2019 - Feb 2023
A refreshed version of Hyde for Jekyll 3.x
Contributions:112 pushes in 3 years 4 months
jekylljekyll-themehyde
fqixiang/Survey-Embedding-Validity
Feb 2021 - Feb 2022
Contributions:10 commits, 3 pushes, 1 branch in 1 year
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