Johannes Burge is an associate professor of psychology at the University of Pennsylvania who applies computational models and Bayesian statistics to understand human vision, perception, and behavior. With a PhD in Vision Science from UC Berkeley and postdoctoral training at UT Austin and Berkeley, he blends neuroscience, image processing, and computer vision to study depth perception, 3D displays, and information processing. His work spans ideal observer analysis and machine learning methods to link perceptual theory with practical display and imaging problems, informed by experience at Adobe Research and the Max Planck Institute. He also brings an unusual background in documentary photography, including a project documenting cataract surgeries in Nepal, which informs his visual intuition and real-world perspective on vision science. Based in Philadelphia, he has eight years of experience leading research programs and mentoring students while maintaining active interdisciplinary collaborations.
8 years of coding experience
8 years of employment as a software developer
PhD, Vision Science, PhD, Vision Science at University of California, Berkeley
BA, Psychology, BA, Psychology at Stanford University
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Johannes Burge - Associate Professor, Department Of Psychology