Dr. Sallie Keller


Dr. Keller is Director and Professor of Statistics for the Social and Decision Analytics Laboratory within the Virginia Bioinformatics Institute at Virginia Tech University. Her interests include statistical and computational social science analysis, data confidentiality, behavioral economics, big data, smart cities, and social policy issues.
Formerly she established the statistical sciences group at Los Alamos National Laboratory, led the School of Engineering at Rice University, served as director of the IDA Science and Policy Institute in Washington, DC, and was the statistics program director at the National Science Foundation.
Dr. Keller has served as a member of the National Academy of Sciences Board on Mathematical Sciences and its Applications, has chaired the Committee on Applied and Theoretical Statistics, and is currently a member of the Committee on National Statistics. She is a national associate of the National Academy of Sciences, fellow of the American Association for the Advancement of Science, elected member of the International Statistics Institute, and member of the JASON advisory group. She is also a fellow and past president of the American Statistical Association.

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Recent Publications

Keller S, Hiemel J. Leadership: An Untold Story in Leadership and Women in Statistics. Golbeck AL, Olkin I, Ge YR, eds. London: Chapman and Hall/CRC Publishers; 2015.
Keller S, Shipp S. Building Resilient Cities: Harnessing the Power of Urban Analytics in The Resilience Challenge: Looking at Resilience through Multiple Lens. Charles C. Thomas Ltd Publishers; 2015.
Keller S, Shipp S, Schroeder A. Does Big Data Change the Privacy Landscape? A Review of the Issues. Annual Review of Statistics and Its Application. 2015.
Keller, S., Koonin, S. E. and Shipp, S. (2012), Big data and city living – what can it do for us?. Significance, 9: 4–7.
National Research Council, 2012. Managing for High Quality Science and Engineering at the NNSA National Security Laboratories, prepared by committee (S. Keller member), National Academy Press.
National Research Council, 2008. Evaluation of Quantification of Margins and Uncertainties Methodology for Assessing and Certifying the Reliability of the Nuclear Stockpile, prepared by committee (S. Keller-McNulty member), National Academy Press.
D. M. Steinburg, S. Bisgaard, S. Doganaksoy N. Fisher, B. Gunter, G. Hahn, S. Keller-McNulty, J. Kettenring, W.Q. Meeker, D. C. Montgomery, 2008. The Future of Industrial Statistics: A Panel Discussion. Technometrics, 50(2):103-127.
S. Keller-McNulty, 2007. From Data to Policy: Scientific Excellence is our Future. Journal of the American Statistical Association, 102(478):395-399.
S. Keller-McNulty, 2006. Editor of Special Issue on Reliability. Statistical Sciences, 21.
B. Williams, D. Higdon, J. Gattiker, L. Moore, M. McKay, and S. Keller-McNulty, 2006. Combining Experimental Data and Computer Simulations with an Application to Flyer Plate Experiments. Bayesian Analysis, 1, Number 4, pp. 765-792.
National Research Council, 2006. Defense Modeling, Simulation, and Analysis: Meeting the Challenge, prepared by the BMSA Committee on Modeling, Simulation, and Analysis in Support of Defense Transformation (S. Keller-McNulty chair), National Academy Press.
Armijo Y, Limnios N, Keller-McNulty S, Wilson A. Modern statistical and mathematical methods in reliability. Vol. 10. Reliability E volume from the 2004 international symposium on MM in, ed. World Scientific; 2005.
S. Keller-McNulty, C. Nakhleh, and N. Singpurwalla, 2005. A Paradigm for Masking (Camouflaging) Information. International Statistics Reviews, 73(3):331-349.
S. Keller-McNulty, G. D. Wilson, and A.G. Wilson, 2005. Impact of Technology on the Scientific Method, with discussion. Chance, 18(4):4-16.