Eliot Kim

About Me

I am a second-year Ph.D. student at the University of Washington Department of Atmospheric and Climate Sciences advised by Prof. Alex Turner. I’m working on improving constraints on the modern methane budget by developing efficient deep learning models which capture coupled chemistry-climate feedbacks.

Previously, I spent a year at NASA Goddard Space Flight Center’s Global Modeling and Assimilation Office, where I worked with Drs. Christoph Keller and Julie Nicely on building a machine learning-based operator for chemical data assimilation in the NASA GEOS modeling sysetem.

Research Interests

• Machine learning for Earth system modeling
• Atmospheric chemistry modeling
• Data Assimilation
• Explainable AI

Publications

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