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Manuel Weber, PhD, is a Research Scientist at Descartes Labs since January 2019, specializing in geospatial deep learning and AI models, with a focus on climate change impact through the development and deployment of large-scale AI solutions. Previously, Manuel held a Postdoctoral Fellow position at Stanford University, engaging in deep learning and computer vision research related to particle interactions, along with initiating projects on photon detection. Earlier roles include Postdoctoral Researcher and Graduate Research Assistant at the University of Bern, where contributions included software development, reconstruction algorithms, and significant advancements in nuclear decay event searching. Academic qualifications include a PhD, M.Sc., and B.Sc. in Physics from the University of Bern, alongside an Erasmus exchange at Lund University. Additional experiences encompass roles as a climbing instructor and operator of satellite laser ranging.