Jocelyn Hoye began her career in physics and mathematics as an undergraduate student at Bates College. She then studied medical physics at Duke University where she completed her dissertation by assessing the accuracy and reliability of Computed Tomography derived quantitative imaging biomarkers for determining prognosis of lung cancer patients. As a researcher at the Yale University School of Medicine Radiology Department, she applied her skills in medical physics simulations, machine learning, image analysis, and segmentation to studying Positron Emission Tomography neuroimaging. She has applied her knowledge of medical physics and simulations towards studying cancer, substance use, Parkinson’s Disease.