My research focuses on understanding when and where mountain snowmelt occurs–a critical question for the more than one billion people who depend on seasonal snowpack for freshwater. My PhD work combined satellite radar remote sensing with large-scale cloud computing to create and study a high-resolution, decade-long record of global snowmelt timing.
Currently, I am developing snow monitoring methods using multi-frequency synthetic aperture radar, with a particular focus on NASA’s recently launched NISAR mission. Alongside my research, I develop and maintain open-source Python tools to make snow-related geospatial datasets more accessible to the broader community. Before starting as a postdoctoral scholar, I completed my PhD in Civil Engineering at the University of Washington in 2025, and my B.Sc. in Computational Engineering at The University of Texas at Austin in 2020.