I am a software engineer for climate model development at the Allen Institute for Artificial Intelligence, supporting a project aimed at improving the parameterization of sub-grid-scale processes in a coarse-resolution climate model using machine learning. I received my Ph.D. from the Atmospheric and Oceanic Sciences Program at Princeton University where I studied topical atmospheric dynamics using an idealized moist general circulation model. Prior to that, as an undergraduate student at Cornell University, I worked on simulating the climate impacts of aerosols released from forest fires and investigated the varied future projections of lightning flash density by different lightning parameterizations.
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