Kasey Jones is a Research Data Scientist with over six years of experience solving client problems using data analysis techniques in Python and R. He applies predictive modeling, simulation, text analysis, and machine learning to produce impactful solutions.
While at RTI, Mr. Jones has developed several agent-based models, made contributions to RTI’s Synthetic Population, utilized computer vision to aid sample selection, and used natural language processing on numerous projects. He has worked with the Centers for Disease Control and Prevention, the National Institutes of Health, the National Institute on Drug Abuse, the Robert Wood Johnson Foundation, the MacArthur Foundation, and others.
Before joining RTI, Mr. Jones worked as an analytical consultant in Washington, D.C., for two years. He was the project lead and main programmer for an application that tracks undocumented immigrants across several datasets. The application was presented to the Secretary of the Department of Homeland Security and was used at the Office of Immigration Statistics.