About Me
I’m a climate data scientist.
I recently defended my PhD in Earth System Sciecnce at UC Irvine, advised by Mike Pritchard (now at NVIDIA) and Jane Baldwin. I am currently a postdoctoral researcher at UC Irvine and will soon join Hannah Kerner’s group at Arizona State University as a postdoctoral researcher. Broadly, my research uses machine learning to better understand the Earth system and support efforts to anticipate and prepare for the impacts of climate change. 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.
Recent News
| Aug 2026 | Started my postdoctoral position at UC Irvine. |
| Jun 2026 | Successfully defended my PhD dissertation titled "Make it Rain—Understanding Thermodynamic Controls on South Asian Monsoon Rainfall." |
| Apr 2026 | Presented my second PhD chapter research at the Climate Informatics Conference in Lausanne. |
| Feb 2026 | Gave a guest lecture on my second PhD chapter as part of the LEAP NSF-STC Spring Lectures in Climate Data Science. Watch it here! |
| Dec 2025 | Presented my second PhD chapter research at the AGU Fall Meeting in New Orleans. |
| Aug 2025 | The first chapter of my PhD was published in Geophysical Research Letters. |