Overview
I am a climate scientist and machine learning researcher bridging the gap between statistical data science and real-world climate challenges.
Currently, I am a Research Fellow at Georgetown University’s Earth Commons Institute, where I develop open-source machine learning and Bayesian frameworks to improve long-term climate risk forecasts and hazard emergence detection. My work integrates global climate models, high-performance computing, and spatial statistics to quantify uncertainty across complex climate systems.
Previously, I completed my Ph.D. at the IBS Center for Climate Physics, analyzing ultra-high-resolution simulations on global supercomputers to track extreme weather events. Beyond core research, I build open-source tools for climate risk assessment and create high-impact climate data visualizations.
I enjoy collaborating across disciplines, advancing open climate data science, and communicating complex science clearly. Feel free to explore my research or reach out to connect!