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Eric Laber

Professor, North Carolina State University

Eric Laber received his Ph.D. in statistics from the University of Michigan in 2011 and subsequently joined the Statistics Department at North Carolina State University. His research focuses on using randomized or observational data to inform complex decision problems in healthcare and ecology. Major research areas are causal inference, non-regular asymptotics, optimization and reinforcement learning. Primary application areas include precision medicine, artificial intelligence, adaptive conservation and the management of infectious diseases. He also has a small robotics laboratory that is used to study cooperative and competitive decision problems.

This document was retrieved from http://www.rsaconference.com/speakers/eric-laber on Mon, 18 Jun 2018 17:32:39 -0400.