Ashley Dalrymple
Dr. Ashley Dalrymple was born and raised in Alberta, Canada. She obtained a BSc in Electrical Engineering, Biomedical Option from the University of Alberta in 2013. She defended her PhD in Neuroscience at University of Alberta in 2018. Her thesis was titled “Machine Learning to Characterize Motor Patterns and Restore Walking after Neural Injury”. In 2019, she moved to Melbourne, Australia, where she worked as a postdoctoral research assistant at the Bionics Institute. Later that year, she moved to Pittsburgh, USA for further postdoctoral training, where she worked at the University of Pittsburgh and Carnegie Mellon University. In 2023, Dr. Dalrymple joined the University of Utah as a tenure-track Assistant Professor, jointly appointed in Biomedical Engineering and Physical Medicine & Rehabilitation. Her research focuses on neural interfaces, particularly in the spinal cord, to restore motor and sensory function and to reduce pain. She applies engineering solutions and neuroscientific knowledge to develop and test neural interfaces to improve the lives of people with neural injuries and diseases. Outside of the lab, Dr. Dalrymple enjoys cooking, baking, traveling, training karate, woodworking, and crafts.
Marta Iversen
Kylee North
Kylee North received her B.S., M.S., and Ph.D. in Biomedical Engineering from the University of Utah. Her research focused on developing insole load sensing technology to monitor patient weight-bearing behavior during lower extremity fracture rehabilitation. She also applied machine learning techniques to analyze data from clinical trials, identifying key factors affecting clinical outcomes. Kylee has since joined the faculty as an Instructor in the Biomedical Engineering Department, where she continues her work on machine learning in gait recognition for patient rehabilitation. When not in the lab, Kylee's favorite hobby is spending time with her husband and four kids. Together, they enjoy trail running, hiking, wake and snowboarding, homesteading, baking, crafting, completing arduino projects such as motion-activated Valentine boxes, and just enjoying life.
Sonny Jones
Sonny Jones is a student in the Biomedical Engineering Ph.D. program, specializing in Data Science and Computation. Sonny graduated with a B.S. in Biomedical Engineering from the University of Utah. During his undergrad, he spent time performing research on projects involving advanced neuroprosthesis control with machine learning. His current research uses machine learning algorithms to predict transitions between gait types. Sonny is interested in data science, machine learning, and AI. Sonny is an avid gym goer and videogame enthusiast.
Abby Harrison
Grange Simpson
Grange Simpson is a Masters student from Bluff, Utah, studying Biomedical Engineering. He graduated from the University of Utah with a BS in Biomedical Engineering, doing research in orthopedic wearable device development and data analysis. As an undergrad, he worked on projects involving wearable sensors, instrumentation modules, mobile health apps, and machine learning algorithms to better understand lower extremity fracture rehabilitation. In the NERVES lab, Grange can be found collecting data from multiple sensors attached to a patient’s body and researching/applying machine learning techniques to the collected data. Outside of the lab, he can be found skiing, mountain biking, camping, playing Zelda, or reading about aquaponics.
Kyle Valestrino
Kyle Valestrino is a Master's student from Thousand Oaks, California, studying Biomedical Engineering. During his undergrad, he worked on projects investigating the use of electromyography and accelerometry to better characterize tremor activation patterns in patients with essential tremor. Currently, his research focuses on using epidural electrical stimulation of the spinal cord for motor rehabilitation in the lower extremities. Outside the lab, Kyle enjoys mountain biking, skiing, and reading.
Jose Hernandez-Bello
Clay Stanley
