Dr. Amol Yadav is a tenure-track assistant professor in the Lampe Joint Department of Biomedical Engineering at the University of North Carolina (UNC) – Chapel Hill and North Carolina State University – with affiliations in neurosurgery and neuroscience at the UNC School of Medicine. He is a biomedical engineer and neuroscientist by training. After obtaining his PhD in biomedical engineering from Duke University under the mentorship of Dr. Miguel Nicolelis, Dr. Yadav honed his expertise through advanced postdoctoral training in neurobiology and neurosurgery at Duke. This propelled him to establish the Brain-Spine-Machine Interfaces Lab at UNC. His laboratory’s research is interdisciplinary in its approach, merging techniques and concepts from brain-machine interfaces with spinal neuromodulation to innovate in the field of neuroengineering. Dr. Yadav works closely with surgeons and clinicians to adapt new therapies tested in preclinical animal models into clinical applications for patients suffering from sensorimotor loss due to neurological conditions such as Parkinson’s disease, spinal cord injury, and stroke. He is the principal investigator of several ongoing preclinical studies and clinical trials at UNC. His research efforts have been recognized with several accolades, including the NIH Director’s New Innovator Award, the NIH K12 Early Career Investigator Award, the Duke Germinator Research Award, and the UNC Junior Faculty Development Award. In addition to leading an active research group, Dr. Yadav tutors undergraduate and graduate students at UNC on brain-machine interfaces and human physiology.
Dr. Yadav’s Fulbright-Nehru project is developing clinical protocols and tools for brain-computer interface (BCI) and neuromodulation trials for the Indian patient population, in collaboration with scientists, engineers, and clinicians at IIT Delhi and AIIMS Delhi. The expected outcomes of the project include a research protocol for BCI and neuromodulation trials for sensorimotor rehabilitation, regulatory filings, clinical metrics to evaluate musculoskeletal function, Indian context-specific computational tools and algorithms, and collaborative manuscript/grant submissions.