Stephan Hügel

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.
code15 years of coding experience
bookB.A. (Mod.), English Literature, B.A. (Mod.), English Literature at Trinity College, Dublin
bookDoctor of Philosophy (PhD), Advanced Spatial Analysis, Doctor of Philosophy (PhD), Advanced Spatial Analysis at University College London, U. of London
languagesEnglish, German
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Github Skills (26)

algorithm10
json10
git10
algorithms10
geometry10
github10
python10
apidoc10
api-design10
api-client10
geospatial10
data-structure10
feedparser10
geo10
api10

Programming languages (15)

JavaC++RustCHTMLJupyter NotebookTypeScriptShell

Github contributions (5)

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urschrei/pyzotero

Feb 2011 - Sep 2022

Pyzotero: a Python client for the Zotero API
Role in this project:
userBack-end Developer
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.
api-clientapipythoncitationspython-client
georust/geo

Aug 2016 - Dec 2022

Rust geospatial primitives & algorithms
Role in this project:
userBackend Developer
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