Dr. Cameron Taylor develops human interfaces that restore ability in persons with movement disorders resulting from various neuromusculoskeletal factors. During his doctorate at MIT, he developed the first clinically-viable technology for real-time muscle tissue length tracking, from first principles through implantation in human patients. His background is wide ranging, from research in magnetoquasistatics, electromagnetic signal propagation, and algorithm design to neural interfacing and muscle physiology, and his work lives at the intersection of these various fields.

He is the recipient of the 2023 Promising Investigator Award at the Rocky Mountain Muscle Symposium Pre-Conference Summit, and his research has been featured in various news outlets, including Physics World, Electronic Design, and MIT Technology Review. He can often be found spending time with his family, tinkering with electronics at his workbench, reading a Brandon Sanderson book, cooking focaccia, or trail running in the forest.

Mahavir is a PhD student and Mansour Graduate Fellow in the Hi-PHI Lab. Before joining UNC and NC State, he worked on high-density EMG systems and brain-computer interfaces at the NeuroMechatronics Lab at Carnegie Mellon University (CMU) and the Rehab Neural Engineering Labs at the University of Pittsburgh. He earned his MS in Artificial Intelligence Engineering - Biomedical Engineering from CMU in 2024. Prior to this, he completed his Bachelor's in Physics with Honors from the University of Delhi and his Master's in Physics from Hemvati Nandan Bahuguna Garhwal University (a Central University) in India. His current research focuses on developing affordable and novel human interfacing technologies to restore movement and sensation in humans.

John is a PhD student in the Hi-PHI Lab. Before joining the UNC and NC State graduate program, he conducted biomechanical tissue research at Spinal Simplicity. He earned his B.S. in Biomedical Engineering from the UNC/NC State BME program in 2024. During his undergraduate career at UNC, John worked on various electronic projects including a laser galvanometer and a smart tourniquet system. His interests lie in tissue biomechanics, continuous wearable sensors, printed circuit board design, and embedded systems. Within the Hi-PHI Lab, John aims to develop bioelectronic equipment and techniques for tissue measurements in humans.