Garrett B. Stanley
Areas of Research
NeuroengineeringContact
UAW 3107Georgia TechBiography
Garrett B. Stanley is a graduate of the North Carolina School of Science and Mathematics. He received a bachelor’s degree in Mechanical Engineering with highest honors from the Georgia Institute of Technology in 1992, and the M.S. and Ph.D. degrees in Mechanical Engineering (dynamics and controls) from the University of California at Berkeley in 1995 and 1997, respectively. From 1995 to 1997, he was an American Heart Association Predoctoral Fellow. From 1997 to 1999, he was a Postdoctoral Fellow in the Neuroscience Division of the Department of Molecular and Cell Biology at the University of California at Berkeley, and an NIH/NEI Postdoctoral Fellow. In 1999, he joined the faculty of the Division of Engineering and Applied Sciences at Harvard University, where until 2007 he was an Associate Professor of Bioengineering and an active member of the Harvard-MIT Division of Health Sciences and Technology (HST). In 2008, he joined the faculty in the Coulter Department of Biomedical Engineering at the Georgia Institute of Technology & Emory University, where he is the McCamish Distinguished Chaired Professor of Biomedical Engineering. His research is in the neural circuits underlying sensing and decision making, the development of neurotechnologies for interacting with and controlling neural circuits in real time, and applying these approaches to Parkinson’s disease. In 2015, he became a Fellow of the American Institute for Medical and Biological Engineering.
Education
- Bachelors in Mechanical Engineering, Georgia Tech, 1992
- Masters in Mechanical Engineering, UC Berkeley, 1995
- PhD in Mechanical Engineering, UC Berkeley, 1997
Affiliated Centers & Institutes
Research Interests
Our laboratory uses an array of experimental and computational tools to investigate the neural circuits underlying sensing and decision making, and develops neurotechnologies for interacting with and controlling neural circuits in real time. A major focus is on the mammalian thalamocortical circuit in the context of tactile sensing, decision making, and behavior. Technology development focuses on real-time, optimal closed-loop control strategies using targeted optogenetic manipulation and decoding and controlling brain states. These avenues of foundational and engineering research are being applied to understand and treat Parkinson’s disease.