Warren M Grill

Warren M Grill, Ph.D., is the James B. Duke Distinguished Professor of Biomedical Engineering at Duke University, with secondary appointments in Neurobiology and Neurosurgery. He is a core faculty member in Innovation & Entrepreneurship, Duke Institute for Brain Sciences, and Duke Initiative for Science & Society. His research focuses on neural engineering and neural prostheses, particularly through design and testing of electrodes, stimulation techniques, and computational neuroscience applications in bladder function restoration, movement disorder treatment via deep brain stimulation (DBS), and chronic pain management with spinal cord stimulation.

• Education: B.S. (Boston University, 1989), M.S. (Case Western Reserve, 1992), Ph.D. (Case Western Reserve, 1995)
• Research Themes: Neural stimulation mechanisms, computational modeling of nerve responses, electrode design optimization, bioelectronic medicine, and closed-loop neuromodulation systems

His scientific contributions include over 150 peer-reviewed publications, 18 patents, and leadership in neuroengineering societies. Current projects analyze deep brain stimulation mechanisms, peripheral nerve stimulation for bladder control, and transcranial magnetic stimulation biophysics. He teaches graduate and undergraduate courses in neural prosthetics, electrical stimulation fundamentals, and research methodology.

Key awards include: Fellow of the National Academy of Inventors (2022), Capers & Marion McDonald Award (2018), Javits Neuroscience Investigator Award (2015), Duke University Scholar/Teacher of the Year (2014), and Fellowships from Biomedical Engineering Society (2011) and American Institute for Medical and Biological Engineering (2007).

His recent publications (2023-2025) demonstrate:

• Energy-efficient neural stimulation waveforms
• Species-specific vagus nerve stimulation scaling
• Computational models for cortical neuron activation thresholds
• Advances in spinal cord stimulation for pain management
• Optogenetic mapping of DBS circuits
• Quasi-static field approximations in neuromodulation