David Freedman

David Freedman serves as Chair of the Department of Neurobiology, Stahl Professor of Neurobiology in the Wallman Society of Fellows, and Professor of the Neuroscience Institute at the University of Chicago. His research program, established in 2008, focuses on deciphering neural mechanisms underlying higher cognitive functions through interdisciplinary approaches.

His academic foundation includes graduate training at MIT and postdoctoral research at Harvard Medical School, providing rigorous preparation in experimental and theoretical neuroscience.

Freedman's research integrates cognitive, systems, and computational neuroscience through electrophysiological recordings of neuronal populations in awake non-human primates performing complex behavioral tasks. His laboratory pioneers dual-methodology investigations: experimental studies of learning, memory, and decision-making processes alongside artificial intelligence modeling of neural systems. This synergistic approach drives development of biologically-inspired AI architectures while probing fundamental questions about perceptual and cognitive neural computations.

His scientific excellence has earned recognition through:

• Troland Research Award, National Academy of Sciences
• Vannevar Bush Faculty Fellowship, Department of Defense
• NSF Career Award
• Sloan Research Fellowship
• McKnight Scholar Award
• Brain Research Foundation Fellowship
• University of Chicago Faculty Award for Excellence in Graduate Teaching and Mentoring (2018)

Freedman maintains a highly productive research program supported by NIH, NSF, DOD, and private foundations, while mentoring numerous graduate students and postdoctoral scholars who have established independent research careers. His laboratory exemplifies successful integration of experimental neuroscience with computational approaches.

The Freedman Lab operates at the University of Chicago as a collaborative hub where electrophysiological expertise converges with artificial intelligence development, maintaining continuous operations since its founding in 2008 to investigate neural coding principles through both biological and synthetic systems.