He was an undergraduate at IU, receiving a B.S.O.F. in cello performance from the IU Jacobs School of Music and a B.A. in economics and mathematics. After college, he worked at the Federal Reserve Bank of St. Louis before enrolling at Carnegie Mellon to pursue a doctorate in statistics. Daniel's main research interests involve the estimation and quantification of prediction risk. He is especially interested in developing methods for evaluating the predictions made using complex dependent data. This includes the application of statistical learning techniques to time-series prediction problems in the context of economic forecasting, as well as investigations of cross-validation and the bootstrap for risk estimation, and examining the trade-offs between prediction risk and computational costs.