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she/her
I'm a Ph.D. student in Atmospheric and Climate Science at the University of Washington, where I use machine learning to study Arctic Amplification and the role of internal climate variability. My background blends engineering, physics, and climate science, with research spanning ice-sheet modeling, greenhouse gas instrumentation, and glacial hydrology. Outside the lab, I’m passionate about the outdoors, running, skiing, and spending time with my dogs and family.
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