Noah Johnson is a Principal Investigator and data scientist with 11 years of experience applying deep learning and classical vision techniques to remote sensing and robotics problems. Based in Rhode Island, he leads research on geometric classification of objects in satellite imagery using 3D CAD models and previously built scalable pipelines for contrastive embedding, change detection, and production-grade Digital Surface Model generation. His background spans both research and engineering—training Siamese networks for geolocalization, implementing Semi-Global Matching with affine camera models for stereo reconstruction, and parallelizing large-scale photogrammetry workflows. A New College of Florida master's graduate in Data Science, he combines practical systems engineering (from cluster schedulers to legacy code translation) with strong technical mentorship and a knack for turning complex spatial problems into deployable solutions.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at New College of Florida
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