About Me

I am a third-year PhD candidate at Columbia University advised by Prof. Pierre Gentine. My current research focuses on combining process-based land models and machine learning to learn unknown functional relationships in terrestiral biosphere processes. I am also interested in using solar-induced fluorescence (SIF) to better understand photosynthesis and vegetation dynamics. My previous projectes include developing a long-term reconstruction of global SIF at 0.05 degree resolution from 1982-2021, and using the diurnal variations of SIF as an early signal of vegetation drought in the US Southwest.

Prior to joining Prof. Gentine’s lab, I graduated in May 2021 from the Johns Hopkins University with a BS degree in Computer Science, Earth & Planetary Sciences, and Applied Math and Statistics (GPA 3.96). During myhis undergraduate studies, I worked with Prof. Benjamin Zaitchik to apply remote sensing and in-situ observations to study the climate drivers of wetland change on the Eastern Tibetan Plateau. I also led the development, testing, and deployment of a wireless sensor network for soil moisture monitoring under the supervision of Prof. Katalin Szlavecz and Prof. Alex Szalay.

This site is currently under construction and will be updated with more exciting contents! You can follow my research on my Google Scholar Profile.