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Byron Yu received the B.S. degree in Electrical Engineering and Computer Sciences from the University of California, Berkeley in 2001. He earned his M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2003 and 2007, respectively. Following his doctoral studies, he was a postdoctoral fellow at Stanford University and the Gatsby Computational Neuroscience Unit at University College London from 2007 to 2009. He joined the faculty of Carnegie Mellon University in 2010, where he holds the position of Professor in the Department of Electrical and Computer Engineering and Biomedical Engineering, and is the Gerard G. Elia Career Development Professor. His research lies at the intersection of neuroscience and engineering, specifically focusing on how large populations of neurons process information, the encoding of sensory stimuli, and the driving of motor actions. His work addresses fundamental scientific questions about brain function and involves the development and application of novel statistical algorithms and methods for dimensionality reduction and dynamical systems, alongside the investigation of brain-computer interfaces.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.