About

I am a Software Engineer at Dyneti Technologies, Inc., where I build machine learning and computer vision systems for fraud detection and card scanning on mobile and web platforms.

I completed my Ph.D. in Climate Sciences at the University of Virginia, advised by Prof. Kevin Grise. My doctoral research centered on large-scale atmospheric dynamics and cloud–circulation interactions, with a focus on understanding the mechanisms driving jet stream variability, constraining uncertainty in future climate projections, and examining the impacts of atmospheric cloud radiative effects on Southern Hemisphere circulation variability in CMIP6 models. I also developed a strong interest in machine learning and causal discovery as tools for climate science.

Prior to UVa, I earned my bachelor’s degree in Atmospheric Sciences from Lanzhou University and spent my third year at the Department of Meteorology, University of Reading, where I worked with Prof. Keith Shine.