Richard H. Granger, Jr.

Richard H. Granger, Jr. is a Professor at Dartmouth College, affiliated with the Thayer School of Engineering and the Psychological and Brain Sciences department. His work spans computational and cognitive neuroscience, focusing on brain circuit analysis, neuroimaging, robotics, and brain engineering.

• B.S., Massachusetts Institute of Technology
• Ph.D., Yale University

His research integrates artificial intelligence, neurobiology, and mathematical modeling to understand fundamental mechanisms of learning, memory, and brain evolution. He develops algorithms inspired by cortical-subcortical loops and explores brain-inspired hardware architectures for efficient computing.

Recent publications highlight his innovations in neural network design (Hamiltonian bitwise architecture), neuroimaging analyses, and cognitive modeling. His work bridges theoretical neuroscience with practical applications in medical diagnostics and robotic systems.

• Invited talk at UC San Diego (2018)
• Keynote speaker at Artificial General Intelligence Conference (2014)
• TEDx talk at Dartmouth (2010)

Contact: Richard.Granger@dartmouth.edu, Moore Hall, Dartmouth College.