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Rachel's interests lie in Data Science, Artificial Intelligence and Machine Learning. Her research background is diverse. As a R&D scientist at Maxar Intelligence, Rachel developed ML models for image processing tasks. As an R&D Engineer at the Applied Reseach Laboratory at Penn State, she researched the performance of underwater autonomously guided vehicles. She has also enjoyed teaching a variety of courses at CU ºù«ÍÞÊÓƵ in various departments including MSDS, Computer Science, and Applied Mathematics.