Dr. Byron Yu

Professor

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Biography

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.

Research Interests

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.