Jelle Teijema is a PhD candidate in Methodology and Statistics at Universiteit Utrecht with nine years of hands-on experience in applied data science and Open Science. He holds an MSc in Applied Data Science and combines rigorous academic research with practical contributions to open-source projects, notably improving documentation and extension guides for the ASReview active learning tool used in systematic reviews. At ASReview he bridges research and engineering as a data scientist, focusing on reproducibility and user-facing clarity. His background ranges from software and hardware troubleshooting as an Apple repair technician to internships in industry, reflecting a pragmatic, detail-oriented approach to problem solving. Jelle maintains an academic-facing website (Teije.ma) and brings a rare mix of methodological depth and documentation craftsmanship that helps make complex tools accessible to researchers.
9 years of coding experience
Gymnasium, Gymnasium at Stedelijk Gymnasium Johan van Oldenbarnevelt
Master's degree, Applied Data Science, 4.0 GPA / 8.2, Master's degree, Applied Data Science, 4.0 GPA / 8.2 at Universiteit Utrecht
Contributions:37 reviews, 27 commits, 47 PRs in 1 year 5 months
Contributions summary:Jelle's primary contributions focus on enhancing and expanding the documentation for the ASReview project. They've updated the API reference, added detailed guides for extension development, improved the documentation on extensions, and fixed various typos. The user's work demonstrates a focus on improving the clarity, completeness, and usability of the project's documentation, ensuring users have clear guidance and information.
Contributions:2 releases, 4 pushes, 1 tag in 2 years 1 month
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