Adam Alessio is a Professor in the Department of Computational Mathematics, Science, and Engineering, and Department of Biomedical Engineering, and Department of Radiology. His research is focused on non-invasive quantification of cancer through advanced imaging algorithms and integrated data analysis.
Prior to joining MSU, Dr. Alessio was a Professor of Radiology at the University of Washington. He received his Ph.D. in Electrical Engineering at the University of Notre Dame and post-doctoral training in nuclear medicine physics at the University of Washington.
Dr. Alessio’s research group solves clinically motivated research problems at the intersection of imaging and medical decision-making. Current efforts center on translational medical research projects for topics including machine learning for quantitative diagnostics, cardiac perfusion estimation, quantitative PET and CT imaging, radiation dose optimization, and system modeling.