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Scott Trinkle is a Research Senior Scientist in Machine Learning at Waters Corporation, with a background in Medical Physics. With experience as a Graduate Research Assistant at the University of Chicago, Scott has worked on projects involving computer vision tools, 3D spatial registration pipelines, and graph theory analysis of structural brain networks. As a Graduate Teaching Assistant, Scott taught courses in medical physics and mathematics. Prior to their current role, Scott was a Data Science / Machine Learning Intern at Waters Corporation and an Undergraduate Research Assistant at the University of Florida. Scott holds a PhD in Medical Physics from the University of Chicago.