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Kyle Lafata is an Associate Professor in the Department of Radiation Oncology at Duke University. He holds a Ph.D. from Duke University, awarded in 2018, and has completed a postdoctoral associate program at the same institution from 2018-2020. His research primarily focuses on medical physics, with specific interests in radiation oncology and the application of artificial intelligence in image analysis and tumor characterization. He has been involved in numerous publications addressing novel techniques in tumor habitat analysis, radiogenomics, and machine learning applications in oncology. Lafata's teaching portfolio includes courses such as Independent Study in Medical Physics and Techniques in Mathematical Oncology. His contributions to the field have led to significant advancements in how medical images are analyzed and utilized for patient care in oncology. His work at the Duke Cancer Institute emphasizes improving cancer detection methodologies and refining imaging technologies to enhance treatment outcomes. Highly regarded in his research community, Lafata continues to push the boundaries of radiation therapy research, integrating advanced computational methods to address clinical challenges.
Duke University • Durham, NC
Associate Professor in Radiation Oncology focusing on medical physics and imaging.
Department of Biomedical Engineering (MS program)