Paul Huang

Paul Huang is a seasoned statistician with extensive experience in data analysis and predictive modeling across various sectors, including consumer safety and healthcare. Currently serving at the U.S. Consumer Product Safety Commission, Paul is responsible for the design and operation of data systems that assess consumer product-related injuries. Prior roles include working as a statistician at the Centers for Medicare & Medicaid Services and as a managing consultant at IBM, where Paul developed fraud detection strategies for Medicare programs. Additional experience encompasses analytics management at Ascend One, marketing analytics at CitiFinancial, and predictive modeling at American General Finance, complemented by a strong educational background with master's degrees in Statistics and Information Technology from Mississippi State University and Virginia Tech, respectively.