Tom Gertin is a research lead and urban planner with 11 years of geospatial and spatial-analytics experience, currently developing advanced spatial-economic land-use and energy models for long-term urban planning in Saudi Arabia. He combines hands-on GIS programming in Python with cloud and web development experience—having administered AWS and built geospatial websites for U.S. government clients. His background spans applied research and operational intelligence, from DARPA and NGA R&D to supporting the State Department’s Humanitarian Information Unit and the World Bank’s Geospatial Operational Support Team. Tom’s work emphasizes evidence-based analysis of urban form and energy demand, translating complex imagery and location data into actionable policy insights. He holds an MS in Geoinformatics and a PhD track in Earth Systems and Geoinformation Sciences, reflecting a strong blend of academic rigor and mission-driven delivery. Notably, he has repeatedly bridged research and production: shipping open-source geospatial tools while embedding analytic models into decision-making workflows.
11 years of coding experience
9 years of employment as a software developer
Virginia Tech
Master of Science (MS), Geoinformatics and Geospatial Intelligence, Master of Science (MS), Geoinformatics and Geospatial Intelligence at George Mason University
Contributions:47 commits, 46 pushes, 1 branch in 6 months
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