Dr. Chunlei Liu

Professor

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Biography

Chunlei Liu is a Professor in the Department of Electrical Engineering and Computer Sciences and the Helen Wills Neuroscience Institute at the University of California, Berkeley. He received his B.S. in Physics from Peking University, his M.S. in Physics from the University of North Carolina, Chapel Hill, and his Ph.D. in Electrical Engineering from Stanford University. Before joining UC Berkeley, he served as an Associate Professor of Radiology and Biomedical Engineering at Duke University. His current research focuses on brain imaging modulation and the development of MRI signal processing techniques aimed at studying the structure and function of the brain. His group works on technologies for remote modulation of neuronal activities. Liu has received numerous accolades for his research including the NIH Pathway Independence Award (K99) in 2006, and he was a finalist for the ISMRM Young Investigator Award in 2007. He was honored with the RSNA Margulis Award in 2015 and elected as a Fellow of the ISMRM and the AIMBE (American Institute for Medical and Biological Engineering) in 2021. He is also a Weill Neurohub Investigator.

Research Interests

Awards

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Fellow

2022-01-01
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Fellow

2022-01-01
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Alexander Margulis Award

2015-01-01

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.