Logan Wright is a Senior Scientist and hyperspectral remote sensing leader with nine years of experience delivering air- and spaceborne instrument, calibration, and image-processing solutions. He combines deep academic training (PhD) with hands-on instrument development, NIST-traceable radiometric calibration, and atmospheric-correction methods proven in NASA field campaigns. Logan has led teams at startups and national labs to turn rigorous scientific methods into operational geospatial products, including machine-learning approaches tailored to hyperspectral unmixing and retrievals. Based in Boulder, he emphasizes building empowered teams that can tackle complex, multidisciplinary problems end-to-end—from requirements and hardware to validation and ML-driven analysis. A less obvious strength is his track record of improving atmospheric correction below clouds, a niche capability that enhances surface retrieval accuracy for coastal and airborne applications.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Atmospheric and Oceanic Sciences, Doctor of Philosophy (PhD) Atmospheric and Oceanic Sciences at University of Colorado Boulder
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