Paul Letnes is a data scientist and applied physicist with 15 years of experience translating complex physical problems into production-ready simulations and data products. With a PhD from NTNU and a background across research labs (CERN, MARINTEK) and industry (SAP, Sopra Steria, Ecotone), he blends optics and modeling expertise with practical software development and machine learning. He has led projects in hyperspectral imaging, corrosion and structural simulation, and polarization modeling, and has a knack for turning numerical research code into maintainable tools. Based in Trondheim, he enjoys the coding side of physics work and brings research rigor to solve real-world engineering and analytical challenges.
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