Dr. Mell’s research focuses on development and testing of personalized radiation therapy using applied mathematics. Our dry lab primarily implements machine learning and in silico radiomics techniques using high-dimensional imaging, outcomes, and clinical data sets, with some crossover into tissue microarray, virology, and translational pre-clinical animal models. Members of our lab apply skills in statistical programming in MATLAB, R, Python, and SAS, and collaborate with investigators in radiochemistry, virology, immunology, pathology, and clinical research.