Roles
Research Assistant Professor
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Biography
Dr. Teddy Salan is a Research Assistant Professor in the Department of Radiology at the University of Miami Miller School of Medicine, where he has been a faculty member since 2023. His research integrates advanced neuroimaging, computational modeling, and machine learning to investigate brain structure and function in neurological and infectious diseases, with a particular focus on HIV, substance use, and developmental disorders.
Dr. Salan earned his Ph.D. in Electrical and Computer Engineering from the University of Memphis, where his dissertation introduced FiberBlender, a computational model for simulating and validating diffusion tensor imaging (DTI) of nerve bundles. He also holds an M.S. in Electrical and Computer Engineering and dual B.S. degrees in Electrical Engineering and Computer Science, with a minor in mathematics. Prior to joining the University of Miami, he completed a postdoctoral fellowship in radiology at UM, where he refined his expertise in multimodal brain imaging, diffusion MRI, and MR spectroscopic imaging.
His scholarship has been published in leading journals including Frontiers in Neuroscience, PLoS One, Journal of NeuroVirology, and Neuroradiology Journal, addressing topics such as neurometabolic abnormalities in HIV, brain microstructural changes after nutritional interventions, and imaging biomarkers of traumatic brain injury and chronic pain. Dr. Salan has also presented his work at major international conferences such as the International Society for Magnetic Resonance in Medicine (ISMRM), the American Society of Neuroradiology (ASNR), and the Research Society on Alcohol (RSA), often as an invited presenter.
Dr. Salan’s research program emphasizes translational applications of imaging to clinical problems. He serves as principal investigator on funded studies supported by the Miami Center for AIDS Research (CFAR) and the Center for HIV and Research in Mental Health (CHARM). His active projects use multimodal brain imaging to evaluate the impact of long-acting antiretroviral therapies on brain health and to develop machine learning approaches for mapping habitats of HIV infection across the brain.
In addition to his research contributions, Dr. Salan is an active peer reviewer for journals in biomedical imaging and computational medicine, including Optical Engineering. He has also served as an abstract reviewer for the Cannabis Clinical Outcomes Research Conference (CCORC). His work has been recognized with multiple honors, including Magna Cum Laude Merit Awards at ISMRM annual meetings in 2020 and 2023 for his innovative imaging research.
Before his academic career, Dr. Salan gained experience as a mobile software developer, an early foundation that informs his integration of computational and engineering approaches into biomedical imaging. Fluent in combining engineering and clinical perspectives, he is dedicated to advancing imaging biomarkers that improve diagnosis, monitor treatment, and enhance understanding of neurological diseases. -
Education & Training
Education
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Honors & Awards
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Publications
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