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Computer Science Colloquia

Friday, October 24, 2014, 3:00 PM in Nau Hall 101

Vijayan N. Nair
Professor of Statistics and Professor of Industrial & Operations Engineering University of Michigan
President of the International Statistical Institute

What's the Big Deal about 'BIG DATA'?

ABSTRACT
Many terms have been used over the last two decades to capture the data-deluge phenomena faced in science, engineering, technology, and everyday life. So what's new about 'Big Data'? What's happening in research, applications, education, funding, and the development of infrastructure to support Big Data initiatives? Are statisticians effectively engaging computer scientists in the big data revolution? How can Statistics become even more central to Data Science? The presentation will discuss a number of these topics from one person's perspective.

BIO
Vijayan N. Nair is the Donald A. Darling Professor of Statistics and Professor of Industrial and Operations Engineering at the University of Michigan. He chaired the statistics department from 1998 to 2011, and currently is President of the International Statistical Institute. Prior to Michigan, he received his Ph.D. in Statistics from UC-Berkeley and was Research Scientist at Bell Laboratories for 15 years. Dr. Nair's areas of expertise includes engineering statistics, including quality and process improvement, experimental design, and reliability. He is a Fellow of the American Association for the Advancement of Science, the American Society for Quality, the American Statistical Association, and the Institute of Mathematical Statistics; an elected member of the International Statistical Institute; and a senior fellow of the Michigan Society of Fellows. Dr. Nair is a former editor of Technometrics and the International Statistical Review and a former chair of the National Institute of Statistical Sciences' Board of Trustees. He was a member of the National Academy of Sciences' Board on Mathematical Sciences and Their Applications (BMSA) and chaired several other NAS committees.