A Ph.D.-trained expert in computational neuroscience with more than 25 years of experience, he specializes in functional magnetic resonance imaging (fMRI), visual perception, and neural systems. He is a Professor of Psychology and Neural Science at a major research university and has held prior academic and research appointments at leading institutions, including Stanford University, MIT, and a federal research laboratory. His work focuses on the analysis and interpretation of neuroimaging data to understand brain function, including research on visual processing, attention, and cortical activity, supported by extensive federal research funding and a large body of peer-reviewed publications.

His expertise integrates neuroscience, psychology, and computer science, including computational modeling, image processing, and computer vision. He has conducted research on topics such as autism spectrum disorders, perceptual function, and the relationship between brain activity and behavior, and has contributed to professional discussions at the intersection of neuroscience and law, including participation in judicial education programs on emerging neuroscience issues. This combination of research and interdisciplinary expertise supports his ability to evaluate matters involving neuroimaging data, perception, cognitive function, and brain–behavior relationships. He has further participated in editorial, advisory, and leadership roles with professional organizations, scientific journals, and research initiatives including the Journal of Neuroscience, Journal of Vision, Neuron, the National Institutes of Health (NIH), the National Science Foundation (NSF), and judicial education seminars addressing neuroscience and the law.