Adam Alessio is a professor in the departments of Computational Mathematics, Science, and Engineering (CMSE), Biomedical Engineering (BME), and Radiology. His research is focused on non-invasive quantification of disease through advanced imaging algorithms and integrated data analysis.
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.
Prior 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. He is the author of over 70 peer-reviewed publications, holds 6 patents, and has grant funding from the National Institutes of Health and the medical imaging industry to advance non-invasive cardiac and cancer imaging.