Stephanie May

Seattle, Washington, United States
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Summary

🤩
Rockstar
Stephanie May is a geospatial leader and educator with 12 years of experience designing maps, building mapping platforms, and teaching GIS at the University of Washington. She has led cartographic and product teams at Apple, Meta, and Stamen, translating complex spatial data pipelines into polished user experiences and measurable business outcomes. As Principal of Liminal Maps and a MapLibre board member, she blends open-source stewardship with strategic governance to support resilient mapping ecosystems. Her hands-on data work includes improving the widely used Natural Earth dataset by reconciling Wikidata IDs and automating shapefile updates with R, demonstrating both domain expertise and practical scripting skills. Known for bridging design, engineering, and pedagogy, she also contributes to cloud-native geospatial discourse through the Cloud-Native Geospatial Forum.
code12 years of coding experience
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Github Skills (9)

r10
data-transformation10
sfx10
sfc10
gis10
data-cleaning10
tidyverse10
datasets10
maps9

Programming languages (13)

MDXJavaC++VueGoHTMLSvelteTypeScript

Github contributions (5)

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nvkelso/natural-earth-vector

Dec 2020 - Apr 2021

A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.
Role in this project:
userData Scientist
Contributions:18 reviews, 144 commits, 5 PRs in 3 months
Contributions summary:Stephanie primarily contributed to the improvement and maintenance of a dataset related to populated places by updating and correcting Wikidata IDs. They implemented data cleaning and transformation steps using the R programming language and libraries like `sf`, `tidyverse`, and `WikidataR`. The user's work directly involved identifying and resolving discrepancies, adding missing data, and ensuring the data's integrity and accuracy, ultimately enhancing the quality and completeness of the geographic dataset. The user appears to be working on a script that will update existing shapefiles by applying the changes.
rasternaturalearthdatagismapdataset
mizmay/muddy_branch_maps

Apr 2025 - Aug 2025

Create a map suitable for trip-planning and watershed conservation efforts along the Muddy Branch Greenway Trail
Contributions:1 PR, 99 pushes, 3 branches in 4 months
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