Marie Curie Research Fellow at Trinity College Dublin
Dublin, Dublin 1, Ireland
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Summary
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Stephan Hügel is a Marie Curie Research Fellow based in Dublin with 16 years of experience at the intersection of climate adaptation, smart cities, and high-performance geocomputation. He combines an academic background (PhD in Advanced Spatial Analysis from UCL) with hands-on engineering, contributing core algorithms and geometry types to the prominent georust/geo library and back-end features and tests for the pyzotero client. His work spans serious games for public engagement, citizen-facing smart city projects, and optimized spatial computation in Rust, reflecting both domain depth and low-level systems skill. Colleagues know him for turning complex spatial problems into robust, testable libraries while keeping public engagement and usability front of mind. An English Literature BA and Digital Humanities MA give him an uncommon blend of technical rigor and storytelling skill that informs his research communication.
15 years of coding experience
B.A. (Mod.), English Literature, B.A. (Mod.), English Literature at Trinity College, Dublin
Doctor of Philosophy (PhD), Advanced Spatial Analysis, Doctor of Philosophy (PhD), Advanced Spatial Analysis at University College London, U. of London
Contributions:2 releases, 1023 commits, 68 PRs in 11 years 8 months
Contributions summary:Stephan primarily contributed to the development of a Python-based Zotero API client. Their work involved implementing core functionality for retrieving data from the Zotero API, including item and collection retrieval. Key contributions include creating methods for handling different response formats and adding a function for creating a more efficient data display. The user also contributed to creating a test suite to validate the functionalities.
Contributions:203 reviews, 336 commits, 196 PRs in 6 years 5 months
Contributions summary:Stephan primarily contributed to the development of algorithms and core data structures for geospatial applications. They implemented a line simplification algorithm and also added various distance calculation functions for points, lines, and polygons. Furthermore, the user modified and extended the library to include support for the new geometry types such as MultiPoint, MultiLineString and MultiPolygon for performing similar operations. Finally, they made various improvements and refactorings including the conversion of existing code into a better and more robust architecture.
geospatialgeographyrusth3geodesy
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Stephan Hügel - Marie Curie Research Fellow at Trinity College Dublin