Byron Yu
Also known as Byron M. Yu
Byron Yu is a Carnegie Mellon professor whose work connects machine learning, neural population activity and brain-computer interfaces. He studied electrical engineering at Berkeley and Stanford, then trained at Stanford and University College London's Gatsby Computational Neuroscience Unit. In 2008, he coauthored Gaussian-process factor analysis, a method for extracting compact descriptions of recorded neural activity. His 2014 work used brain-computer interfaces to examine how existing neural activity patterns constrain learning. He coauthored MiSO in 2024, using a neural network to select brain stimulation settings that guide neural activity toward specified states.
Timeline
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2001–2007
Engineering at Berkeley and Stanford
He earns a BS in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 2001. At Stanford University, he completes an MS in electrical engineering in 2003 and a PhD in electrical engineering in 2007.
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2007–2009
Postdoctoral work and GPFA
From 2007 to 2009, he holds a joint postdoctoral fellowship in electrical engineering and neuroscience at Stanford and University College London's Gatsby Computational Neuroscience Unit. With John Cunningham and colleagues, he introduces Gaussian-process factor analysis (GPFA) at NIPS in 2008. The method combines smoothing and dimensionality reduction in one probabilistic model to extract neural activity trajectories from individual trials.
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2010
Joining Carnegie Mellon
He joins Carnegie Mellon University's faculty in 2010.
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2014
Neural constraints on learning
In 2014, he coauthors “Neural constraints on learning” in Nature, combining machine learning and brain-computer interfaces to study how monkeys learn to move a computer cursor. The team shows that existing neural activity patterns shape which new cursor control skills the animals learn easily.
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February 2017
Elia career development professorship
In February 2017, he receives Carnegie Mellon University's Gerard G. Elia Career Development Professorship in Engineering.
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2020
Stabilizing brain-computer interfaces
He coauthors a 2020 study that stabilizes brain-computer interfaces by aligning low-dimensional patterns of neural activity. In tests with non-human primates, the method maintains cursor control across recording changes and multiple days.
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2021
Election as an AIMBE fellow
In 2021, the American Institute for Medical and Biological Engineering elects him to its College of Fellows. The honor recognizes his work on how neural populations enable sensory, cognitive and motor function.
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2024
MiSO for brain stimulation
With Yuki Minai, Joana Soldado-Magraner and Matthew Smith, he coauthors MiSO at NeurIPS in 2024. The brain stimulation framework uses a convolutional neural network and adaptive optimization to select settings that drive neural population activity toward specified states.
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As of October 2026
Professor at Carnegie Mellon
As of October 2026, he is a professor of electrical and computer engineering and biomedical engineering at Carnegie Mellon University, with an appointment in the Neuroscience Institute. In June 2026, he and collaborators report pCCA-FA, a statistical method for separating neural activity shared across brain areas from activity within a single area.
Sources and credits
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- Byron Yu - Electrical and Computer Engineering - College of Engineering - Carnegie Mellon University
- Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
- Unlocking the Secrets of the Brain - Biomedical Engineering - College of Engineering - Carnegie Mellon University
- Scientists plug into a learning brain | NICHD - Eunice Kennedy Shriver National Institute of Child Health and Human Development
- Weldon and Yu receive professorships - Electrical and Computer Engineering - College of Engineering - Carnegie Mellon University
- Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity - Robotics Institute Carnegie Mellon University
- Byron Yu Dr. Byron Yu to be inducted into medical and biological engineering elite - AIMBE
- MiSO: Optimizing brain stimulation to create neural population activity states
- What did the left brain say to the right brain? | Neuroscience Institute