Kyle Jon Lafata
Assistant Professor of Radiation Oncology
My research focuses on novel mathematical methods and computational techniques that facilitate the discovery of biomarkers otherwise dormant in biomedical images. By incorporating multi-scale information from both radiological images (i.e., radiomics) and digital pathology images (i.e., pathomics), my work aims to characterize the appearance and behavior of disease across different spatial, temporal, and functional domains. Methodologically, I incorporate various computational and mathematical techniques into my research, including image processing, machine learning, statistical pattern recognition, and the applied analysis of stochastic differential equations.
Current Appointments & Affiliations
Education, Training, & Certifications
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