Summary
Philipp Arndt is a data scientist specializing in satellite imagery and data fusion, currently applying machine learning to vessel detection and behavior classification at Global Fishing Watch. He holds a PhD in Earth Science from Scripps Institution of Oceanography, where his research developed automated methods to detect and monitor meltwater features on Greenland and Antarctic ice sheets using ICESat-2 photon data and multispectral imagery. With a decade of experience spanning remote sensing, statistical learning, and geospatial databases (PostGIS), he has translated complex observational datasets into actionable products for climate and maritime monitoring. His background includes interdisciplinary work in econometrics and mobility clustering, reflecting a rare blend of physical-science rigor and practical data-engineering skills. Based in California, he pairs field-ready curiosity—backcountry skiing, climbing, and biking—with research that directly informs sea-level rise predictions and maritime transparency.
10 years of coding experience