Keaton Scherpereel, PhD

Keaton Scherpereel did his undergraduate degree in mechanical engineering at Vanderbilt University. Under the direction of Dr. Karl Zelik, his research focused on designing and testing passive assistive garments for lower back pain. He then pursued a Masters in mechanical engineering and PhD in robotics from the Georgia Institute of Technology. With guidance from Dr. Aaron Young and Dr. Omer Inan, he focused his research on machine learning for exoskeleton control and biosignal estimation. He has published research ranging from joint contact load estimates based on joint sounds to task-agnostic exoskeleton control using internal machine-learning-based joint moment estimates. He now works at Skip on the high level control architecture specifically for people with Parkinson’s disease