Biography

I am an Assistant Professor of Business Data Analytics in the Management Information Systems Department of the John Chambers College of Business and Economics at West Virignia University. My research interests include multivariate statistical machine learning methods and algorithms. Specifically, I’m interested in developing new methods of clustering, classification, and regression that have applications in business operations and healthcare, and how these methods can be deployed and used in operational settings.

Before moving to West Virginia, I was a Clinical Assistant Professor and Director of the Master’s of Science in Business Analytics in the Department of Management Science at the University of Miami School of Business Administration. I recieved my P.hD. from the University of Minnesota School of Statistics under the guidence and supervision of Adam J. Rothman and Charles J. Geyer. I am also an undergraduate alumni of WVU where I have dual degrees in Industrial Mathematics and Statistics and Mathematics.

I’m currently leading data analysis and data science initives along with colleagues from with Data Driven WV on the State of West Virginia’s Governors Joint Inter-Agency Task Force on COVID-19 Vaccine. During the COVID19 myself and other colleagues were awarded a Civillian Service Medal/Award for our work developing models and technology to forecast demand for personal protective equiptment. Our current work focuses on developing data science tools, workflows, and systems to better distribute vaccines and track vaccination administration information.

Bradley S. Price (2018). gfmR: Implements Group Fused Multinomial Regression. R package version 1.1-0. https://CRAN.R-project.org/package=gfmR

Ben Sherwood and Bradley S. Price (2018). mcen: Multivariate Cluster Elastic Net. R package version 1.0. https://CRAN.R-project.org/package=mcen

Bradley S. Price (2014). RidgeFusion: R Package for Ridge Fusion in Statistical Learning. R package version 1.0-3. https://CRAN.R-project.org/package=RidgeFusion