Daniel Lupton is a Certified Specialist in Predictive Analytics, Fellow of the Casualty Actuarial Society, a Member of the American Academy of Actuaries and holds a BA with Comprehensive honors in Mathematics and English from the University of Wisconsin – Madison, and an MBA from the University of Maryland Robert H. Smith School of Business, with eighteen years' actuarial experience in the property & casualty insurance actuarial industry.

At Taylor & Mulder Inc., Mr. Lupton has been responsible for reviewing rate filings on behalf of insurance regulators, analyzing insurance and self-insurance reserves, providing expert witness testimony, and providing actuarial services in support of risk-focused financial examinations of insurance companies. Experienced in serving as an actuarial expert witness in tax court.

Mr. Lupton has particular expertise with pollution liability, particularly underground and aboveground petroleum storage tank insurance and coal mine reclamation. His experience also includes a wide variety of lines such as workers' compensation, general liability, commercial auto liability, mortgage guaranty, medical professional liability, cyber liability, homeowners, inland marine, property, and many others.

Mr. Lupton has significant experience providing rate model review services, having managed the review of over 300 rate filings for state insurance departments since 2017. He has reviewed a large variety of models including GLMs, Ridge Regression, LASSO, Elastic Net Regularization, Gradient Boosting Machines, Generalized Additive Models, Random Forests, and various clustering techniques.

Mr. Lupton has pursued and obtained the designation of "Certified Specialist in Predictive Analytics" from the Casualty Actuarial Society. He reviews and referees research papers for the CAS's Variance journal and has served as Chair of the CAS Machine Learning Working Party.