Dr. Jones is a Visiting Associate Professor in the Operations Department at the McDonough School of Business, affiliated with the Department of Mathematics and Statistics in the College of Arts and Sciences, and an Entrepreneur . He has nearly 20 years of experience in statistics, econometrics, and machine learning, with a career spanning academia, industry, and government. His work bridges traditional statistical methods with modern machine learning, focusing on interpretability, predictive modeling, and applications in economics and business.
Dr. Jones’s research explores advanced methods and metrics for statistical machine learning, such as transfer learning with Latent Dirichlet Allocation, a generalized R-squared for classification and multivariate prediction, as well as methods for deriving approximate marginal effects in complex predictive models. He has authored and maintains multiple open-source software packages and published on statistical computing, machine learning, and applied analytics.
He holds a Ph.D. in Computational Science and Informatics from George Mason University, an M.S. in Mathematics and Statistics from Georgetown University, and a B.A. in Economics from the College of William and Mary. Outside of work, he is a Marine Corps veteran and enjoys boxing.
Academic Appointment(s)
- Primary
- Visiting Associate Professor of the Practice, MSB - Operations Area (OPIM)