I am a Ph.D. candidate in the Department of Atmospheric and Oceanic Sciences at the University of Colorado Boulder.
My research is focused on Cloud Microphysics, Radar Meteorology, and Numerical Modeling to better understand precipitation processes in complex terrain. I am also interested in Machine Learning applications in Atmospheric Science, or just for fun!
Multi-frequency radar observations of a single Cloud Top Generating Cell (CTGC) observed during the Wintre-MIX field campaign are used to study the microphysical evolution of these convective features in 3D.
Launch VisualizationInvestigating precipitation formation mechanisms and microphysical processes in clouds.
Weather radar signal processing techniques. Advanced noise removal in spectral domain using Discrete Cosine Transform.
Evolution of precipitation types in climate warming scenarios and potential solutions using CESM.
PyTorch implementations of neural networks.
Deep storm clouds reach freezing temperatures aloft, yet their rainfall doesn't always originate from ice. New simulations reveal that a warm cloud base enables liquid droplet collisions to become the dominant rain-forming process, challenging assumptions used in climate and weather models.