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 National Severe Storms Laboratory (NSSL) within NOAA's Office of Oceanic and Atmospheric Research (OAR). I am a member of the Seasonal to Subseasonal (S2S) and Extreme Weather Group, where my research focuses on the severe thunderstorms and their associated hazardous events across the United States.
My work integrates remote sensing observations with machine learning techniques to reconstruct hazard climatologies and analyze the atmospheric environmental conditions conductive to various severe weather phenomena. Furthermore, my research includes assessing the fidelity of high-resolution regional convection-allowing models in representing these events and explore their characteristics under evolving atmospheric conditions. The overarching goal of this research is to advance our understanding and prediction of severe weather.Â
I will be attending the AGU24 Annual Meeting from December 9-13, 2024, in Washington, D.C., where I will present the work titled "Hierarchical Clustering of Temporal Evolution in Pre-Initiation Synoptic Patterns of Mesoscale Convective Systems in the United States." This project is a collaborative effort between CIWRO, NSSL, UW, and PNNL.
I will be attending the 31st Conference on Severe Local Storms (SLS) from October 20-25, 2024, in Virginia Beach, VA, where I will present my work, "Developing a More Complete Tornado Climatology Using a Large Radar Dataset and Machine Learning."