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Brent Doiron is a Professor in the Departments of Neurobiology and Statistics at the University of Chicago. He received his PhD in Physics from the University of Ottawa in 2004 and completed a postdoctoral fellowship at the Center for Neural Science at New York University in 2017. Previously, he was a professor of Mathematics at the University of Pittsburgh and co-directed the Program in Neural Computation at the Neuroscience Institute at Carnegie Mellon University from 2007 to 2020. His research focuses on the integration of nonlinear dynamics and statistical mechanics, with a particular emphasis on the genesis and transfer of variability in neural circuits. He has developed core theoretical insights and made significant contributions to neural coding and network learning throughout his research career, collaborating with experimental colleagues on projects involving electrosensory, olfactory, somatosensory, auditory, and visual systems.
University of Chicago • Chicago, IL
Teaching and conducting research in the Departments of Neurobiology and Statistics.
University of Pittsburgh • Pittsburgh, PA
Taught mathematics and led research in neural computation.
Neuroscience Institute, Carnegie Mellon University • Pittsburgh, PA
Oversaw the Program in Neural Computation.
Department of Philosophy