Moacir De Sá Pereira
Research Data Librarian, Research Data Services
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolMoacir De Sá Pereira is a research data librarian and data scientist with 11+ years connecting humanities scholarship to scalable data-driven methods, currently leading Research Data Services at Columbia University. Trained as a PhD in English and holding an MS in Data Science from Columbia Engineering, he blends literary study—especially U.S. novels about immigrant geographies—with geospatial engineering and reproducible research instruction. He designs curricula and community spaces (an online course for PhD students and a Data Club) and routinely consults on research data management across disciplines. As an active open-source contributor, he has improved geospatial algorithms in the popular Turf.js library, bringing rigor to ellipse and rhumb-line calculations. Equally at home teaching and coding, he builds semantically rich tools (e.g., NYWalker) that surface new questions at the intersection of literature, place, and data. Off-duty he crafts modular synthesizers and documents life with his rabbit, Ciṛiyā, revealing a playful curiosity that fuels his interdisciplinary work.
11 years of coding experience
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia EngineeringPhD, English Language and Literature, PhD, English Language and Literature at University of ChicagoPhillips Academy
Lithuanian, French, English
Stackoverflow
65reputation
4kreached
2answers
6questions
Github Skills (17)
algorithm10
javascript10
typescript10
geospatial10
geojson10
mappings10
typescript-types10
computational-geometry10
typescripts10
activerecord6
jekyll6
mochajs6
emberjs6
github-pages6
markdown6
Programming languages (16)
Github contributions (5)
Turfjs/turf
Nov 2017 - Nov 2017
A modular geospatial engine written in JavaScript and TypeScript
Role in this project:
Back-end Developer
Back-end DeveloperContributions:104 commits, 15 PRs, 21 pushes in 9 days
Contributions summary:Moacir focused on refactoring and improving the core functionality of the `turf-ellipse` module. Their primary contributions included removing dependencies, refactoring code to use rhumb lines for distance calculations, and adding the functionality to build ellipses out of degrees, too. Additionally, the user also worked on improving the documentation, including adjusting examples and updating the TypeScript file. The user's work indicates a strong focus on geometry and geospatial calculations.
turfgeospatialjavascriptcomputational-geometrymodular
plain-plain-text/simple-essay
May 2018 - Dec 2021
Contributions:23 commits, 11 pushes, 4 branches in 3 years 7 months
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