Michael Dwyer is the Director of IT and Neuroinformatics Development at the Buffalo Neuroimaging Analysis Center (BNAC), and Assistant Professor of Neurology and Biomedical Engineering at the University at Buffalo. Dr. Dwyer also serves as Director of Computational Analysis for the Center for Biomedical Imaging, one of the Cores of UB’s Clinical Translational Science Institute. He received his PhD in quantitative neuroimaging analysis methods from the University of Bradford (2013), and also a MSc in Computer Science from Nova Southeastern University (2011). His research as BNAC's Neuroinformatics Development Director focuses on the application of quantitative image analysis methods to neuroimaging data in order to better characterize the onset, progression, and treatment of neurological diseases. Specific highlights of his work include the development and validation of a method for detecting and quantifying demyelination and remyelination in vivo, the development of a method dramatically improving on the precision of conventional tissue-specific atrophy measurement in clinical routine, and the investigation of the MRI "connectome” on cognition in MS.

Dr. Dwyer recently formed an artificial intelligence (AI) sub-group with specific focus on applications of deep learning techniques in neuroimaging. He created a new tool called DeepGRAI (deep gray matter via artificial intelligence) that reliably quantifies thalamic atrophy on low-resolution clinical routine imaging.

He has published over 150 scientific papers in  peer-reviewed medical, imaging, and brain-related journals, and has edited and reviewed publications for numerous journals in his field. His papers are highly cited and frequently used as a “must-cite reference”, with an H-index of 47.