Assistant Professor at the University of Miami's Rosenstiel School of Marine, Atmospheric, and Earth Science and a Frost Institute for Data Science and Computing (IDSC) Core Faculty Member. My research examines hurricane structure and intensity change, with a focus on better understanding and predicting rapid intensification.
I am an Assistant Professor in the Department of Atmospheric Sciences at the University of Miami Rosenstiel School of Marine, Atmospheric, and Earth Science. My research uses data science methods to better understand tropical cyclones, with the overarching goal of providing tools that can be used to improve their prediction.
My work typically uses a combination of observations, numerical modeling simulations and machine learning methods to investigate the complex relationships between convective processes, vortex structure, and storm intensification. I am particularly interested in better understanding the processes that lead to rapid intensification.
I am passionate about bridging the gap between research and operations, with a focus on improving tropical cyclone intensity forecasts through better understanding of internal storm dynamics.
Assistant Professor
Rosenstiel School for Marine, Atmospheric, and Earth Science;
Frost Institute for Data Science and Computing (IDSC) Core Faculty Member
University of Miami
Ph.D. Atmospheric Science
University at Albany (SUNY)
Tropical Cyclone Intensity Change
Tropical Cyclone Structure
Machine Learning
Convective Processes
Investigating the three-dimensional structure of tropical cyclones using airborne Doppler radar observations and machine learning methods, with emphasis on precipitation structure, vortex tilt, and storm size.
Analyzing the physical processes leading to tropical cyclone rapid intensification, including the role of convective bursts and environmental interactions.
Utilizing tail Doppler radar observations from NOAA reconnaissance aircraft to create comprehensive datasets of tropical cyclone inner-core structure. See the TC-RADAR database below for more.
A comprehensive database of tropical cyclone reconnaissance airborne Doppler radar observations spanning 1997-2024. This dataset provides unprecedented access to the three-dimensional structure of over 1,500 tropical cyclone cases.
Interested in collaboration or have questions about my research? Feel free to reach out!