Stephanie May
Instructor, GIS Certificate Program
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolStephanie 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.
12 years of coding experience
5 years of employment as a software developer
Master of Science - MS Geographic Information Science and Cartography, Master of Science - MS Geographic Information Science and Cartography at San Francisco State UniversityBachelor of Science - BS Earth Systems, Bachelor of Science - BS Earth Systems at Stanford University
German, Spanish
Stackoverflow
11reputation
567reached
0answers
1question
Github Skills (12)
datasets10
data-transformation10
sfx10
sfc10
gis10
data-cleaning10
tidyverse10
r10
maps9
ms-access6
linked-list6
vba6
Programming languages (9)
Github contributions (5)
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:
Data Scientist
Data ScientistContributions: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.
integratedpublic-domainrasterdatasetnaturalearthdata
mizmay/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.
Contributions:104 pushes, 6 branches in 4 months
integratedpublic-domainrasterspatial-datadataset
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.