

Chunlei Liu
Contributing to thought leadership in the realm of brain imaging and modulation, Chunlei Liu is a distinguished Professor in the Department of Electrical Engineering and Computer Sciences and the Helen Wills Neuroscience Institute at the University of California, Berkeley. With a Ph.D. in Electrical Engineering from Stanford University, awarded in 2005, Professor Liu has dedicated his career to advancing our understanding of brain structure and function through innovative research. Professor Liu's research interests lie at the intersection of brain imaging and modulation, where he employs cutting-edge MRI and signal processing techniques. His work is pivotal in developing technologies for the remote modulation of neuronal activities, offering new insights into the intricate workings of the human brain. His contributions have significantly impacted the field, paving the way for novel therapeutic approaches and enhancing our comprehension of neural dynamics. A recognized leader in his field, Professor Liu is a Fellow of both the International Society for Magnetic Resonance in Medicine (ISMRM) and the American Institute for Medical and Biological Engineering (AIMBE). These prestigious honors reflect his commitment to excellence and his influential role in shaping the future of brain imaging and modulation technologies. At UC Berkeley, Professor Liu is not only a dedicated researcher but also a passionate educator, inspiring the next generation of engineers and neuroscientists. His courses are known for their rigorous approach and integration of the latest research findings, providing students with a comprehensive understanding of the complexities of brain imaging and signal processing. Through his work, Professor Liu continues to push the boundaries of what is possible in brain research, contributing to a deeper understanding of the human mind and its capabilities. His ongoing projects and collaborations are a testament to his unwavering dedication to advancing science and technology in service of human health and well-being.
Publications
, e35683, 2023-10-27