Postdoctoral Researcher at NSF NCAR - The National Center for Atmospheric Research
Denver, Colorado, United States
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Karen Stengel is a postdoctoral researcher and computational scientist with eight years of experience applying machine learning and optimality principles to atmospheric and environmental problems. Based at NCAR’s Computational & Information Systems Laboratory in Denver, she transitioned from a PhD in computer science at CU Boulder and hands-on internships at NREL and NCAR into research bridging ML, weather forecasting, and high-performance computing. Her background in both computer science and cell biology/neuroscience gives her a distinctive interdisciplinary perspective on modeling complex systems and extracting principled insights from data. Known for a curiosity about “learning as much as possible,” she combines rigorous research with practical engineering to move algorithms toward operational impact.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Cell Biology and Neuroscience, Bachelor of Science - BS Cell Biology and Neuroscience at Montana State University-Bozeman
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Colorado Boulder
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Karen Stengel - Postdoctoral Researcher at NSF NCAR - The National Center for Atmospheric Research