Daniel J Graham

Daniel J. Graham is a Professor of Psychological Science at Hobart & William Smith Colleges (HWS), where he has been a faculty member since 2012. He is affiliated with the Department of Psychological Science within the School of Humanities and Sciences, contributing to interdisciplinary research and teaching in vision science, brain networks, and neuroaesthetics. Graham holds a Ph.D. in Psychology and an M.S. in Physics from Cornell University, and a B.A. in Physics from Middlebury College, reflecting his strong foundation in both the natural and cognitive sciences.

• Ph.D. in Psychology, Cornell University
• M.S. in Physics, Cornell University
• B.A. in Physics, Middlebury College

His research integrates computational, behavioral, and theoretical approaches to understand how the brain processes visual information, particularly in natural scenes, art, and faces. He is a leading proponent of the 'internet metaphor' for brain function, proposing that neural communication operates similarly to packet-switched networks. His work emphasizes efficiency, statistical regularities, and network dynamics in cortical and whole-brain systems. Key research themes include efficient coding, neuroaesthetics, and models of neural communication.

The most recent publications reveal a strong trend toward interdisciplinary synthesis, combining neuroscience, computer science, and psychology. His work increasingly explores machine learning models to predict human affective responses to visual stimuli, critiques of dominant theoretical frameworks like the free energy principle, and educational innovation in perception teaching. The research spans from foundational vision science to philosophical reflections on brain function.

Scientific Awards and Recognition:

• Winner, Outstanding Student Presentation Award at MAA MathFest (2021)
• Invited speaker at numerous national and international conferences, including the Redwood Neuroscience Institute and the Bernstein Conference
• Media coverage of PNAS work in Nature, NPR, BBC, and IEEE Spectrum

Teaching and Advising: Graham mentors numerous undergraduate students, many of whom co-author his publications. He has developed innovative lab courses involving electrophysiology, perceptual experiments, and creative demonstrations. He teaches core courses such as Introduction to Psychology, Sensation and Perception, and advanced seminars on art and neuroscience. His teaching philosophy emphasizes critical thinking, interdisciplinary reasoning, and active student participation.

Research Labs and Collaborations: Graham collaborates closely with Prof. Yan Hao (HWS Mathematics) on modeling neural communication. His research group involves students in computational modeling, data analysis, and experimental design. He is involved in conferences and workshops focused on the mathematics of neuroscience and AI, reflecting his commitment to cross-disciplinary science.