Summary
John Fay is a seasoned geospatial analyst, educator, and researcher with over 30 years of experience applying GIS, remote sensing, Python, and R to environmental problems. As a Lecturing Fellow and Research Associate at Duke's Nicholas School, he designs and teaches graduate courses in geospatial and environmental data analytics while mentoring student-led, data-driven projects. His work spans academia and industry—ranging from predictive algal bloom modeling at Xylem to conservation planning and ecosystem service mapping at Stanford—demonstrating an ability to translate diverse datasets into actionable conservation outcomes. John combines deep technical skills (databases/SQL, cloud GIS, graph/network analysis) with a long record of developing protocols and tools that streamline research workflows. Recognized for teaching excellence with the Lynn Maguire Award, he brings a rare blend of classroom impact and hands-on project delivery that emphasizes reproducible, interdisciplinary science.
11 years of coding experience
9 years of employment as a software developer
M.S, Natural Resources; Conservation Biology and Ecosystems Management, M.S, Natural Resources; Conservation Biology and Ecosystems Management at University of Michigan
Certificate of Merit, Logic & Metaphysics, Certificate of Merit, Logic & Metaphysics at University of St. Andrews
B.A, Biology and Environmental Studies, B.A, Biology and Environmental Studies at Bowdoin College