Sam Parker
Restoration of sensation is critical for coordinated control of future neuroprosthetic devices. My work focuses on using electrical stimulation of the spinal cord, using commercially available SCS arrays, to encode sensations from below the site of a spinal cord injury. With translation as a guide, I am developing new technologies, and testing them in the clinic, to improve the lives of people living with SCI. As a part of DARPA's Intelligent Spine Interface program, we aim to "bridge the gap" in neural signalling created by complete spinal cord injury.
Tackling complex problems like spinal cord injury cannot be done alone. I have had the good fortune to work alongside world-class interdisciplinary teams across aerospace, mining, and neural engineering. A lesson in the value of diverse thought, I've seen first-hand how effective teams can play to their strengths to push boundaries of innovation.Â
I completed my Bachelors of Electrical Engineering at the University of Newcastle in Australia, where I was awarded the University Medal. I am currently finishing my PhD in Biomedical Engineering at Brown University, where I work closely with patients and the neurosurgical and research teams to deliver high-quality technical solutions, data, and patient experience.
When I'm not thinking about medical devices, I'm admiring aerospace innovation.
The (partial) story so far:
2016: Started Bachelors of Electrical Engineering at the University of Newcastle
2017: Fall semester study abroad at the University of Pittsburgh to visit RNEL
2018: Test engineer intern on a multidisciplinary team integrating and testing the X-57 experimental electric plane at NASA's Armstrong Flight Research Center (Spring)
2018: Undergraduate Engineer and Special Projects Analyst at ResTech, on a multidisciplinary team developing embedded SW & HW for hazardous environments
2020: Awarded Susan and Isaac Wakil Foundation John Monash Scholarship to develop neuroelectric interfaces for paralysis
2020: Started PhD in Biomedical Engineering at Brown University, designing, implementing, and testing preclinical and clinical systems for the Intelligent Spine Interface study