
About
Lee E Miller is a Professor in the Department of Physical Medicine and Rehabilitation at Northwestern University's Feinberg School of Medicine, with research spanning neural mechanisms of movement control and neuroprosthetic development for spinal cord injury rehabilitation.
Education:
- PhD from Northwestern University (1990)
- Postdoctoral Fellow at University of Nijmegen (1992)
His work focuses on deciphering the brain's "language" for movement commands, understanding neural network dynamics, and translating these principles into therapeutic applications. Key research areas include spinal cord injury rehabilitation, neural engineering, and brain-computer interface development, with collaborations spanning Biomedical Engineering and the Interdepartmental Neuroscience Program (NUIN).
Recent publications (2025) reveal strong emphasis on clinical translation of neural interfaces, featuring studies on intracortical microstimulation safety, advanced neural probe mechanics, customizable body-machine protocols, and stability optimization through latent dynamics alignment—demonstrating integration of fundamental neuroscience with engineering solutions.
Scientific recognition includes:
- Elected fellow in the American Institute for Medical and Biological Engineering (2016)
- Senior Visiting Fellow, Institute of Neurology, University College London (2002)
- European Community ESPRIT II Post Doctoral Fellowship (1990)
- Murphy Fellowship, Northwestern University (1981)
- Research Fellowship at Turner Precision X-ray Measurements Lab (1978)
Miller has mentored numerous students and postdocs throughout his career, now transitioning the Miller Limb Lab from animal research to computational analysis and a final major project developing muscle-based BCIs for spinal cord injury patients through collaborations with Cortical Bionics and Shirley Ryan AbilityLab.
His Miller Laboratory of Limb Motor Control remains an active interdisciplinary hub after nearly four decades, currently focusing on human applications while winding down primate studies but maintaining data analysis and new computational projects with a reduced team.
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