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Brain-Computer Interfaces for Basic Science

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Byron Yu, Ph.D., professor, electrical and computer engineering and biomedical engineering, Gerard G. Elia Career Development Professor, Carnegie Mellon University

Byron Yu received his B.S. degree in electrical engineering and computer sciences from the University of California, Berkeley in 2001. He received the M.S. and Ph.D. degrees in electrical engineering in 2003 and 2007, respectively, from Stanford University. From 2007 to 2009, he was a postdoctoral fellow jointly in electrical engineering and neuroscience at Stanford University and at the Gatsby Computational Neuroscience Unit, University College London. He then joined the faculty of Carnegie Mellon University in 2010, where he is professor in electrical and computer engineering and biomedical engineering and the Gerard G. Elia Career Development Professor. He is broadly interested in how large populations of neurons process information, from encoding sensory stimuli to driving motor actions. His group develops and applies novel statistical algorithms and uses brain-computer interfaces to study brain function.

Winrich Freiwald
(212) 327-7697
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Lihong Yin
(212) 327-7620

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