Brent Doiron

Professor, Departments of Neurobiology and Statistics
Committee on Computational and Applied Mathematics (CCAM)


I received a PhD in physics from the University of Ottawa (2004), and completed a postdoctoral fellowship at the Center for Neural Science at New York University (2017). I was previously a professor of mathematics at the University of Pittsburgh, where I was co-director of the Program in Neural Computation at the Neuroscience Institute at Carnegie Mellon (2007-2020).  I have received several awards, including an Alfred P. Sloan Research Fellowship in Neuroscience, a Vannevar Bush faculty fellowship award, and a Chancellor’s Distinguished Research Award from the University of Pittsburgh. 


My research focuses on a combination of nonlinear dynamics and statistical mechanics, with an emphasis on the genesis and transfer of variability in neural circuits. I have developed core theoretical insights that have made contributions to both neural coding and network learning. Throughout my research career, I have collaborated with experimental colleagues who work in the electrosensory, olfactory, somatosensory, auditory, and visual systems.