About Me

I’m a climate data scientist.

I’m a current PhD candidate at UC Irvine, advised by Mike Pritchard (now at NVIDIA) and Jane Baldwin, and I expect to complete my doctorate in June 2026. My research uses statistical and machine learning models to understand the drivers of tropical rainfall, with a focus on the South Asian monsoon, though I am broadly interested in climate dynamics, extremes, and variability, and their impacts on vulnerable populations. I am currently exploring full-time roles where I can apply my skills in climate science, data analysis, and open-source research. Some of my projects are available on GitHub.

I’m interested in open science.

I care about building tools and workflows that make climate science more reproducible and accessible. That includes writing clean, shareable code, working with publicly available datasets, and contributing to a culture where research is easier to reproduce and reuse.

A bit more about me.

I’m originally from Long Island, New York. I studied Earth and Atmospheric Sciences at Cornell University in Ithaca, New York, where I also co-founded the Cornell University Dance Team. I graduated in December 2020 during the COVID-19 pandemic and moved back to Long Island, working remotely as a financial management consultant before deciding to pursue a PhD. In September 2021, I moved to Irvine, California for graduate school, and I recently relocated to Long Beach. When I’m not working with climate data, I enjoy skiing, hiking, camping, thrifting, crocheting, and dance.

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