Dr. Otis Smart is a Principal Data Scientist at IBM The Weather Company who develops machine-learning-based predictive models and insights from Big Data for Audience Categorization, Targeting, and Engagement projects and provides consult on various additional projects. Previously, he developed predictive models [a] from Twitter data for a social media marketing SaaS analytics platform by startup Insightpool + [b] from in-vivo brain data (e.g., electrophysiology, neurophysiology, neurostimulation, implantable medical devices) for human and animal studies of neurological disorders (e.g., epilepsy, depression, parkinson's disease) at Emory University. Also, he previously conducted research in the Intelligent Control Systems Laboratory at Georgia Tech, the Psychophysiology Laboratory at NASA Ames Research Center, and Clemson University as well as radio-frequency engineer training at BellSouth Mobility. He earned BS (2001), MS (2002), and PhD (2007) degrees in Electrical Engineering from the Georgia Institute of Technology and a BS (2001) degree in General Science from Morehouse College.