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Rafael C. Nunez is a Research Scientist on the epidemiology team at IDM. He brings more than 10 years of experience in data fusion, signal processing, machine learning, artificial intelligence, and high-performance computing. He received his Ph.D. in Electrical and Computer Engineering at the University of Miami, his M.Sc. in Electrical and Computer Engineering at the University of Delaware, and his B.Sc. in Electrical Engineering at Universidad Pontificia Bolivariana (Medellin, Colombia). His current research is focused on the development and application of machine learning algorithms for disease transmission models, with emphasis on prediction and model calibration.