Dr. Eric Laber is an Associate Professor in the Department of Statistics. Dr. Laber received his PhD in statistics from the University of Michigan in 2011. His expertise is in machine learning, optimization, statistical modeling, and application of statistical methods in personalized medicine, adaptive conservation, and computing. He has taught courses and workshops on: introductory statistics, survival analysis, personalized medicine, and advanced statistical computing. He is a member of the personalized medicine and artificial intelligence lab (joint with NC State, UNC, and the University of Wisconsin), the center for predictive modeling (Duke), and the personalized medicine cluster (NCSU).
Dr. Laber is the founder of Laber Labs, the largest single PI statistics laboratory in the world. This lab focuses on using data to improve decision-making in complex and uncertain environments. Application domains include spatio-temporal decision problems, precision medicine, artificial intelligence, and gaming.
Laber is the recipient of the National Science Foundation CAREER award, the Noether Young Scholar Award, and the Raymon J. Carroll award. He has an extensive record of working with industry including partners such as Amazon, Bank of America, Delta Airlines, Cisco, Ecolab, IQVIA/Quintiles, JMP, and the Philadelphia Eagles.