Data Analytics Expert and Healthcare Fraud Detection Specialist
Associated with :
Babson CollegeBabak Zafari serves as Assistant Professor of Analytics and Statistics in Babson College's Math & Science Division, bringing extensive expertise in predictive modeling and healthcare fraud analytics. His academic credentials include a B.S. in Applied Mathematics from Sharif University of Technology, M.S. in Operations Research/Computer Science from Bowling Green State University, and Ph.D. in Decision Sciences from The George Washington University School of Business. Before joining Babson, he worked as a Visiting Assistant Professor at The George Washington University School of Business and served as a senior statistician consultant at Integrity Management Services, where he developed statistical models for fraud detection in Medicare and Medicaid programs. His research interests span predictive modeling, data mining methods for business applications, Bayesian statistics, healthcare fraud analytics, and online auctions. His work combines theoretical expertise with practical applications, particularly in developing innovative approaches to detect and prevent healthcare fraud through advanced statistical modeling.