Dr. Lenglet is a professor at the Center for Magnetic Resonance Research (CMRR) and a scholar of the Institute for Translational Neuroscience. After completing his undergraduate degree in computer science engineering, with a minor in philosophy and cognitive sciences, and a M.S. in applied mathematics, he received a Ph.D. in biomedical imaging and neuroscience. He then joined the Imaging and Visualization Department at Siemens Corporate Research as a research scientist. In 2008, he moved to the University of Minnesota as a research associate in the Department of Electrical and Computer Engineering and subsequently became an assistant professor (tenure track) at CMRR. He was a recipient of the University of Minnesota 2014-2016 McKnight Land-Grant Professorship.
Dr. Lenglet’s research aims to understand the effects of neurodegeneration and discover novel imaging biomarkers of the central nervous system. His lab develops mathematical and computational techniques to map the connectivity of the brain using high-field MRI. He was a co-chair of the Human Connectome Project (HCP)External link that opens in the same window operational team for the analysis of diffusion MRI data. He is currently involved in several international studies in ataxias, COVID, ALS and TBI dealing with MRI data standardization and analysis across sites. He is also an MPI of the BRAIN CONNECTSExternal link that opens in the same window Center for Mesoscale ConnectomicsExternal link that opens in the same window, where he co-leads the diffusion MRI analyses. His research interests include brain microstructure characterization, connectomics, optimization of diffusion MRI acquisition protocols, as well as machine learning and network science.
