
About
David Brainard is the RRL Professor of Psychology at the University of Pennsylvania. He leads the Brainard Lab, which investigates human vision through experimental and computational approaches, focusing on how the visual system interprets object properties from light signals. His research integrates psychophysics, computational modeling, and machine learning to understand color perception, visual processing, and neural mechanisms.
Education: BS in Physics from Harvard University; PhD in Psychology from Stanford University.
Research interests include human vision, visual neuroscience, and computational modeling of visual processing. Specific areas: color appearance under varying illumination, object identification via color, and development of machine vision systems mimicking human performance. Recent work explores retinal physiology, chromatic aberration correction, and evolutionary constraints on color naming systems.
Notable contributions include studies on retinal ganglion cell physiology in primates, image reconstruction frameworks, and quadratic models of visual cortex responses. Collaborations span neurobiology, optics, and cognitive science.
Awards: None explicitly listed. Active advising of graduate students and postdocs including Callista Dyer, Semin Oh, and Raymond Warner.
Labs/Teams: The Brainard Lab at Penn, with ongoing projects on retinal imaging, computational models of vision, and cross-disciplinary applications in machine learning.
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