Distinguished BME Seminar Series; Byron Yu, Carnegie Mellon University

Byron Yu’s research is at the intersection of neuroscience, engineering, and machine learning. He is broadly interested in how large populations of neurons process information, from encoding sensory stimuli to driving motor actions. To address basic scientific questions about brain function, his group develops and applies novel statistical algorithms, such as dimensionality reduction and dynamical systems methods, and brain-computer interfaces. He is Professor of Electrical & Computer Engineering and Biomedical Engineering at Carnegie Mellon University, and a Gerard G. Elia Career Development Professor. His a_lations include the Center for the Neural Basis of Cognition, Neurascience Institute and the Robotics Institute.