Russell T. Shinohara

Dr. Russell T. Shinohara is a Professor in the Department of Biostatistics at The Johns Hopkins Bloomberg School of Public Health. His research focuses on quantitative biomedical imaging and biomarkers, particularly assessing structural and functional brain changes across the lifespan and in neurological/psychiatric disorders. He holds a PhD from Johns Hopkins (2012), MSc (2007), and Honors BSc (2006) from McGill University.

Key research interests include neuroimaging analysis, machine learning applications in healthcare, and understanding brain pathology in conditions like multiple sclerosis and epilepsy. Notable collaborations span institutions globally, with a focus on automated diagnostic tools and multi-center harmonization of neuroimaging data.

Featured work includes advancements in central vein sign detection for MS diagnosis, AI-driven epilepsy subtype identification, and environmental exposure studies linking chemical mixtures to child cognitive outcomes. His methods have been published in journals like Biological Psychiatry, JAMA Neurology, and NeuroImage.

Current initiatives emphasize reproducible brain development charts, harmonization of structural connectomes, and leveraging big data to reduce site-related biases in neuroimaging studies.