I am a Research Scientist at the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma, affiliated with the NOAA/OAR National Severe Storms Laboratory (NSSL). I am a member of the Seasonal to Subseasonal (S2S) and Extreme Weather Group, where my research focuses on thunderstorms and their associated hazards across the United States.
My work integrates remote-sensing observations with artificial intelligence and machine-learning techniques to reconstruct hazard climatologies and analyze the atmospheric conditions conducive to severe weather. I also assess how well high-resolution, convection-allowing models represent these events and explore how their characteristics may change under evolving atmospheric conditions. The overarching goal of my research is to advance our understanding and prediction of severe weather.
At the 2026 NOAA Industry Partnerships Summit in Silver Spring, Maryland, I demonstrated a high-resolution hail climatology, developed using radar data and machine learning, to NOAA and industry partners. [09/2026]
I presented research on the large-scale environments preceding flash-flood-producing mesoscale convective systems at the 106th AMS Annual Meeting in Houston, Texas. [01/2026]
I presented “Hierarchical Clustering of Temporal Evolution in Pre-Initiation Synoptic Patterns of Mesoscale Convective Systems in the United States” at the AGU24 Annual Meeting in Washington, D.C. This project was a collaborative effort among CIWRO, NSSL, UW, and PNNL. [12/2024]
I presented “Developing a More Complete Tornado Climatology Using a Large Radar Dataset and Machine Learning” at the 31st Conference on Severe Local Storms in Virginia Beach, Virginia. [10/2024]