Brent Doiron

Brent Doiron is a Professor at the University of Chicago, holding appointments in the Departments of Neurobiology and Statistics, and serving on the Committee on Computational and Applied Mathematics (CCAM). His research integrates nonlinear dynamics and statistical mechanics to study neural circuit variability, focusing on mechanisms underlying neural coding and network learning through collaborations with experimentalists in sensory systems.

• Education: PhD in Physics (University of Ottawa, 2004)
• Postdoc: Center for Neural Science at New York University (2017)
• Previous Roles: Mathematics Professor at University of Pittsburgh (2007-2020), Co-Director of Neural Computation Program at Carnegie Mellon Neuroscience Institute

Research interests center on neuronal population dynamics, recurrent circuit mechanisms, and computational neuroscience. Current work investigates correlated variability in cortical networks, inter-areal communication, and stochastic spiking models.

Recent publications emphasize cortical stability/gain modulation, asynchronous/synchronous activity balance, and Bayesian inference frameworks. Key themes include sensory processing, network plasticity, and dimensionality reduction in neural coding.

• Scientific Awards
  • Alfred P. Sloan Research Fellowship in Neuroscience
  • Vannevar Bush Faculty Fellowship
  • Chancellor’s Distinguished Research Award (University of Pittsburgh)

Active grants include NIH R01 and R90/T90 awards for neuronal dynamics research and computational neuroscience training programs.