Austin Dixon is a PhD candidate and graduate research assistant with a decade of experience in atmospheric science, specializing in high-resolution simulations of supercell thunderstorms and tornadoes. He combines advanced numerical modeling (ensemble CM1, WoFS) with field-focused work supporting unmanned aircraft system deployments to improve storm-scale prediction and operational forecasts. His research bridges theory and practice, guiding sensitivity studies that inform real-time forecasting products and experimental sampling strategies. Trained at the University of Oklahoma and UW–Madison, he brings strong quantitative skills from a meteorology BS and mathematics minor through to M.S. level analysis. Notably, he focuses on moving toward explicit tornado prediction within operational frameworks, a practical but ambitious aim that highlights his commitment to applied science and public safety.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Atmospheric Science, Master of Science (M.S.), Atmospheric Science at University of Wisconsin-Madison
Bachelor of Science (B.S.), Meteorology, Bachelor of Science (B.S.), Meteorology at University of Oklahoma
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