Welcome!

I am a Ph.D. student in the Department of Statistics and Data Science at UCLA advised by Dr. Karen McKinnon. My current research focuses on leveraging statistical methodology to improve and inform land-atmosphere interaction models, particularly relating to evapotranspiration. I am passionate about solving complex problems at the intersection of statistics, climate science, oceanography, and ecology to better understand and quantify shifts in our changing climate.

Prior to joining UCLA, I received my B.A. in Statistics from the University of Chicago in 2019, where I researched convolutional neural network applications to areas such as biological systems and baseball statistics with Dr. Kendra Burbank. In 2022, I received my M.S. in Statistical Science from Duke University where I worked with NOAA and MIT Woods Hole to develop a modeling pipeline to update the abundance estimate for the most critically endangered large whale population, the North Pacific right whale. Descriptions of research and other projects can be found under the portfolio tab.