Sarah Scott
Phd Candidate at Duke University
Based in Durham, United States
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Seniority
Staff
Department
Research & Development
Location
Durham
Industry
Higher Education
Company size
16K
Contact information
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s•••••••@duke.edu
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Background
About Sarah Scott
I am a Ph.D. candidate in Civil & Environmental Engineering at Duke University, with a tentative graduation date in Fall/Winter 2025, specializing in machine learning, deep learning, and remote sensing for environmental applications. My current research at NASA Langely Research Center leverages data from NASA's newest Earth Observing Satellite, TEMPO, where I apply advanced machine learning and deep learning techniques to the high spatiotemporal data to address observational gaps in air quality monitoring during special operations and develop intra-hourly raster-based predictions that improve temporal forecasting capabilities. My work has been published in Environmental Science & Technology Letters and featured as a cover story in MDPI Sensors. Recognized with the Best National Laboratory Collaboration Award (2024), I bring a strong record of translating advanced ML methods into impactful solutions for air quality, environmental monitoring, and satellite-based decision support.
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