John Pearson


Assistant Professor of Neurobiology

John  Pearson Profile Photo
John Pearson Profile Photo


My research focuses on the application of machine learning methods to the analysis of brain data and behavior. In particular, we are interested in the process by which organisms like songbirds learn complex motor skills without external reinforcement, the way simple information processing principles can explain the organization of early sensory systems, and designing new computational methods that allow us to analyze neural data and change experiments in real time. 


  • B.S. University of Kentucky, 1999
  • Ph.D. Princeton University, 2004


  • Assistant Professor of Neurobiology
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Research Professor in Neurobiology
  • Member of the Center for Cognitive Neuroscience

Awards, Honors, and Distinctions

  • Early Career Mentoring Award in Basic u2014 Translational Science. Duke University School of Medicine. 2022
  • Gordon G. Hammes Faculty Teaching Award. Duke University School of Medicine. 2020

Courses Taught

  • NEUROSCI 755: Interdisciplinary Program in Cognitive Neuroscience (IPCN) Independent Research Rotation
  • NEUROSCI 494: Research Independent Study 2
  • NEUROSCI 493: Research Independent Study 1
  • NEUROBIO 735: Quantitative Approaches in Neurobiology
  • NEUROBIO 730: Statistics for Neuroscience