Carnegie Mellon University

Byron Yu

Byron Yu

Associate Professor, Electrical and Computer Engineering
Assistant Professor, Biomedical Engineering

Address 5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

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.

Research

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.

Keywords

  • Neural signal processing
  • Brain-computer interfaces
  • Statistics and machine learning

Related news

Wednesday, April 04, 2018

Yu quoted in Quanta on roadblocks to learning

Quanta Magazine quoted Byron Yu and BME’s Steve Chase on their research of learning. Much research on intelligence emphasizes brain plasticity, the ability to respond and adapt to new information.
Tuesday, March 13, 2018

The learning brain is less flexible than we thought

New research from CMU and Pitt reveals that the brain has various mechanisms and constraints by which it reorganizes its neural activity when learning over the course of a few hours. The new research finds that, when learning a new task, the brain is less flexible than previously thought.
Tuesday, August 29, 2017

Yu receives NSF grant for brain research

The National Science Foundation (NSF) recently awarded BME/ECE’s Byron Yu and Professor Matthew Smith from the University of Pittsburgh nearly $500,000 to conduct a research project, titled “Volitional Modulation of neural activity in the visual cortex.” For their project, Yu and Smith will use a brain-computer interface (BCI) to identify which aspects of the brain’s activity are sensory versus cognitive.
Wednesday, May 03, 2017

Yu and Chase receive NIH grant for brain-computer interface research

The goal of the research is to use brain-computer interfaces to study how to accelerate learning.
Tuesday, February 21, 2017

Weldon and Yu receive professorships

Carnegie Mellon University’s Jeffrey Weldon has been awarded The Sathaye Family Foundation Early Career Professorship in Electrical & Computer Engineering, and Byron Yu has been awarded the Gerard G. Elia Career Development Professorship in Engineering. As the highest academic award a university can bestow on a faculty member, professorships are reserved for those who show continued contributions in their field.
Monday, May 09, 2016

BrainHUB announces recipients of ProSEED funding

Carnegie Mellon University has funded four new interdisciplinary neuroscience projects through its ProSEED grant program. The projects aim to create new tools and techniques to vastly improve how scientists study the brain and leverage the university’s strengths in biology, computer science, machine learning, psychology and engineering.