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An Earth & Climate Sciences PhD student in the Nicholas School of the Environment and research assistant in the Ryan Lab, Maya conducts research at the intersection of machine learning, remote sensing, and cryospheric science. Her current research entails developing deep learning models that predict Greenland Ice Sheet meltwater runoff from regional climate model output and in-situ observations, to better constrain predictions of global sea level rise. Prior to attending Duke, Maya graduated cum laude from Vanderbilt University, where she studied Earth & Environmental Sciences and Data Science. She previously conducted research at the United States Naval Research Laboratory's Remote Sensing Division, where she constructed machine learning models to delineate and map ice wedge polygons from UAS lidar-derived digital elevation models. Maya's love of conducting fieldwork has taken her to Colorado's Collegiate Peaks, the North Slope of Alaska, and the Greenland Ice Sheet.