Summary
Stephanie Auer is a geospatial data scientist with 11 years of experience translating climate, ecological, and remote-sensing data into operational risk metrics for government, non-profit, and private-sector clients. She has built end-to-end geospatial pipelines and hazard models—ranging from wildfire footprint and fuel classification systems to sea-level rise and biodiversity risk assessments—whose outputs have been integrated into large-scale catastrophe and corporate risk platforms. Proficient in GIS, R, Python, and machine learning, she combines reproducible research practices with production-focused analytics to scale climate risk insights across millions of assets. Based in San Francisco, she pairs academic training in environmental studies and geography with hands-on work on satellite imagery and climate model outputs, and is known for turning complex environmental science into practical tools for decision-makers.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Geography, Master's degree, Geography at San Francisco State University
University of California Santa Cruz