Robb Lankston is a software engineer with 12 years of experience building end-to-end data science and GIS solutions that translate academic research into scalable cloud software for environmental science. He blends machine learning productionization, high-performance GIS modeling, and cloud architecture (AWS/GCP) to turn massive spatial datasets into actionable climate and land-management insights. His background includes long-standing collaborations with USFS and academic institutions, authoring bespoke simulation libraries and ArcMap add-ins and shipping tools used by federal research groups. Comfortable across Python, C#, and TypeScript, he’s equally at home writing fast raster-processing algorithms from scratch or designing infrastructure for compute-heavy scientific models. Based in Seattle, he combines a practical systems mindset with domain depth in forestry and fire modeling, driven by the belief that better data tools enable better climate policy.
12 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.), Combined Computer Science and Mathematics, Bachelor of Science (B.S.), Combined Computer Science and Mathematics at University of Montana
Contributions:55 commits, 18 PRs, 20 pushes in 6 years 3 months
magicavoxelgardensimulationfiddlesimulator
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