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My interests lie in use of crowd-sourced observations to advance our understanding of current weather and the state of our numerical weather prediction guidance, all through the mPING Project. I’m also interested in applying machine learning/artificial intelligence to algorithm development for both radar algorithms and the output of numerical weather prediction models. I’m heavily involved in analysis of airborne Doppler radar data, merged with ground-based Doppler radar data, to further our understanding of tornadic storm processes in the Southeastern United States using VORTEX-Southeast data. Finally, I’m interested in applying meteorological measurements from UAS platforms to better understand pre-storm environments and to make better forecasts of developing severe weather.