Hosted by the GPH Department of Biostatistics
Dr. William Edwards Deming was one of the foundational leaders in industrial statistics, with contributions to experimental design, sampling, and process control. More importantly, he changed the culture of business leadership in two nations, and implicitly, around the world. But the industries of his day focused on manufacturing, while today’s industries reflect the knowledge economy. Join Dr. David Banks, Professor of the Practice of Statistics, Duke University, for a talk that asks the industrial statistics community to consider how to update and apply Dr. Deming’s ideas in the Big Data era. There are some very direct correspondences.
About the Speaker:
David Banks obtained an MS in Applied Mathematics from Virginia Tech in 1982, followed by a PhD in Statistics in 1984. He won an NSF Postdoctoral Research Fellowship in the Mathematical Sciences. In 1986 he was a visiting assistant lecturer at the University of Cambridge, and then joined the Department of Statistics at Carnegie Mellon in 1987. In 1997 he went to the National Institute of Standards and Technology, then served as chief statistician of the U.S. Department of Transportation, and finally joined the U.S. Food and Drug Administration in 2002. In 2003, he returned to academics at Duke University.
Dr. Banks co-founded the journal Statistics and Public Policy and served as its editor, and co-founded and chaired the American Statistical Association's Section on National Defense and Homeland Security, as well as the sections on Risk Analysis and on Statistical Learning and Data Mining. He has published 80 refereed articles, edited eight books, and written four monographs. Dr. Banks is past-president of the Classification Society, has twice served on the Board of Directors of the American Statistical Association, and was president of the International Society for Business and Industrial Statistics. He is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science. He recently won the American Statistical Association's Founders Award. His research areas include models for dynamic networks, dynamic text networks, adversarial risk analysis (i.e., Bayesian behavioral game theory), human rights statistics, agent-based models, forensics, and certain topics in high-dimensional data analysis.