Summary
Taylor Smith is a research scientist based in Berlin with a decade of experience applying Python and large-scale geospatial methods to remote sensing problems in water resources, erosion, climate extremes, and land management. At Universität Potsdam since 2018 (following a PhD in remote sensing there), Taylor develops scalable workflows for big geospatial datasets, spatial statistics, and time-series machine learning. Their work bridges rigorous academic research and practical applications, from field-focused erosion studies to regional hydrology and climate-extreme mapping. Comfortable as an independent consultant and educator earlier in their career, they combine strong technical implementation skills with clear scientific communication. Taylor’s public portfolio highlights reproducible code and tools for processing large satellite archives, reflecting a commitment to open, scalable science. Colleagues describe them as a pragmatic problem-solver who turns complex earth-science questions into operational data products.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Universität Potsdam
Geology, Geology at Middlebury College
Master's degree, Master's degree at UC Santa Barbara
English, French, Spanish, German, Swedish