Pacific Northwest National Laboratory - PNNL
Bradley Clymer is a Senior Data Scientist 3 at Pacific Northwest National Laboratory, specializing in machine learning for RF and sensing applications, with a focus on x-ray target detection and classification using AWS. Previously, Clymer held positions as a Senior Research Engineer and Research Engineer III at SRI International, where responsibilities included managing research programs and R&D in sensing and communications. Experience also includes roles as a Systems Software Engineer at Uhnder, Inc., Engineering Scientist Associate at Applied Research Laboratories at The University of Texas at Austin, and Graduate Research Assistant at Central Florida Remote Sensing Laboratory. Clymer has a Master of Science in Electrical and Electronics Engineering and a B.S. in Electrical Engineering and Mathematics from the University of Central Florida, along with an A.A. from Valencia College.
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