Consultant - AI & Biomedical Engineering

Engineering Neural Interfaces with Clinical Vision

Kevin Davis merges pioneering neural engineering with clinical insight. Earning his M.D./Ph.D. from the University of Miami Miller School of Medicine, he completed his Ph.D. in Biomedical Engineering after earning a B.S. in Neuroscience from Brigham Young University. Kevin’s work spans fundamental neurobiology to deployable brain–computer interfaces (BCIs) that restore function for people with spinal cord injuries.

Kevin’s Areas of Expertise:

• Enabled a paralyzed patient to drive a race car with thought by refining a portable BCI decoder, integrating a custom cell-phone app and minicomputer so German Zuniga could control a NASCAR-style car outside the lab.

• Designed at-home BCI systems, packaged lab-grade neural decoding software into backpack-mounted hardware that empowers users to open doors, grasp objects, and practice motor tasks remotely.

• Led translational neuroscience projects investigating the nervous system’s roles in hypertension, obesity, and eating disorders across murine models, overseeing protocol development and complex data analysis.

• Developed real-time signal-processing pipelines leveraging statistical, machine learning, and deep learning methods to decode motor imagery from cortical signals, presented in peer-reviewed articles and conference talks.

• Bridges bench and bedside through collaborative research, partnering with neurosurgeons, engineers, and rehabilitation specialists to translate invasive BCI breakthroughs into practical assistive technologies.