Carnegie Mellon University

Byron Yu

Dr. Byron Yu

Gerard G. Elia Career Development Professor, Biomedical Engineering and Electrical & Computer Engineering

Hamerschlag Hall B204
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213


  • B.S., Electrical Engineering and Computer Sciences, University of California, Berkeley, 2001
  • M.S., Electrical Engineering, Stanford University, 2003
  • Ph.D., Electrical Engineering, Stanford University, 2007
  • Postdoctoral Fellowship, Stanford University and University College London, 2009


Byron Yu received the 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 an Associate Professor in Electrical & Computer Engineering and Biomedical Engineering and the Gerard G. Elia Career Development Professor.


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 1) novel statistical algorithms, such as dimensionality reduction and dynamical systems methods, and 2) brain-computer interfaces.

Research Interests: neural engineering; brain-computer interfaces; systems neuroscience; computational neuroscience; machine learning


Awards and Recognition

  • Fellow, American Institute for Medical and Biological Engineering (AIMBE)

  • Joel and Ruth Spira Excellence in Teaching Award

  • Gerard G. Elia Career Development Professor