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Daniel Seiter is a Data Scientist at NeoSoft, LLC, specializing in the development of 3D/4D Cardiac MRI tools, including automatic vessel segmentation and advanced data visualization. Prior to this role, Daniel served as a Graduate Research Assistant at the University of Wisconsin-Madison, contributing to Flow-MRI research and coordinating the MRI group student meetings. Experience also includes a Guest Scientist position at Physikalisch-Technische Bundesanstalt and roles focusing on MRI quality management at Calimetrix. Daniel's academic credentials comprise a Ph.D. and M.S. in Medical Physics from the University of Wisconsin-Madison and a Bachelor’s degree in Physics with a minor in Medical Physics from Grove City College. Additional experience includes leadership in various educational and research capacities, along with early career roles in sales and outdoor instruction.