The U.S. Census Bureau today announced that Peter W. Glynn, chairman of the Department of Management Science and Engineering at Stanford University, has accepted an invitation to serve on the Census Scientific Advisory Committee. His term will start Aug. 21.

The Census Scientific Advisory Committee is comprised of up to 21 members from multiple disciplines, including demography, economics, information technology and social and behavioral sciences. The members advise the Census Bureau director on the uses of scientific developments in statistical data collection, survey methodology, geospatial and statistical analysis, econometrics, cognitive psychology, business operations and computer science as they pertain to the full range of Census Bureau programs and activities, including census tests, policies and operations. The committee members, who serve at the discretion of the U.S. Census Bureau director, are chosen based on their technical expertise and scientific knowledge.

“I am honored that Dr. Glynn has accepted our offer to join our Scientific Advisory Committee,” Census Bureau Director John H. Thompson said. “He will make excellent contributions that will be of great value in advancing our programs and our scientific and

Glynn received his doctorate in operations research from Stanford University in 1982. He then joined the University of Wisconsin faculty, where he held a joint appointment between the Industrial Engineering Department and Mathematics Research Center and courtesy appointments in computer science and mathematics.

In 1987, he returned to Stanford to join the Department of Operations Research. Since 1996, he has been the Thomas Ford Professor of Engineering in the Department of Management Science and Engineering and holds a courtesy appointment in the Department of Electrical Engineering.

From 1999 to 2005, Glynn served as deputy chair of Stanford’s Department of Management Science and Engineering and was director of the university’s Institute for Computational and Mathematical Engineering from 2006 until 2010. He is a fellow of the Institute for Operations Research and Management Sciences, a fellow of the Institute of Mathematical Statistics and an elected member of the National Academy of Engineering. His research interests lie in simulation, computational probability, queuing theory, statistical inference for stochastic processes and stochastic modeling.

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