Sallie Keller

Sallie Keller Headshot
Division Director, Social and Decision Analytics


Dr. Sallie Ann Keller is Director of the Social and Decision Analytics Division within the Biocomplexity Institute and Initiative at University of Virginia and Professor of Public Health Sciences. Her areas of expertise are social and decision informatics, statistical underpinnings of data science, and data access and confidentiality. Dr. Keller’s is a leading voice in creating the science of all data and advancing this research across disciplines to benefit society.

Her prior positions include Professor of Statistics and Director of the Social and Decision Analytics Laboratory within the Biocomplexity Institute of Virginia Tech; Academic Vice-President and Provost at University of Waterloo; Director of the Institute for Defense Analyses Science and Technology Policy Institute; the William and Stephanie Sick Dean of Engineering at Rice University; Head of the Statistical Sciences group at Los Alamos National Laboratory; Professor of Statistics at Kansas State University; and Statistics Program Director at the National Science Foundation. Dr. Keller is a National Associate of the National Academies of Science, Engineering and Medicine and has served as a member of the National Academy of Sciences Board on Mathematical Sciences and Their Applications, the Committee on National Statistics, and has chaired the Committee on Applied and Theoretical Statistics. She is fellow of the American Association for the Advancement of Science, elected member of the International Statistics Institute, fellow and past president of the American Statistical Association, and member of the JASON advisory group.

Full CV

Research Interests

  • The science of all data
  • Social and decision informatics
  • Statistical underpinnings of data science
  • Data access and confidentiality


Ph.D. in Statistics, Iowa State University of Science and Technology
M.S. in Mathematics, University of South Florida
B.S. in Mathematics, University of South Florida

Awards and Honors

  • Elected Member of International Statistical Institute
  • Jerome Sacks Award for Outstanding Cross-Disciplinary Research, National Institute of Statistical Sciences
  • John V. Atanasoff Research and Discovery Award, Iowa State University
  • Fellow of the American Association for the Advancement of Science
  • National Associate of the National Academy of Sciences, Engineering, and Medicine
  • Founder’s Award American Statistical Association
  • Fellow of the American Statistical Association
  • Director’s Award for Outstanding Program Management, National Science Foundation

In the News

Biocomplexity Institute and Initiative Director Sallie Ann Keller's Legacy Lives On
Rice University Article by Mike Williams

Selected Publications

  • New Opportunities to Observe and Measure Intangible Inputs to Innovation: Definitions, Operationalization, and Examples ABS
    Proceedings of the National Academy of Sciences (PNASs), 115 (50):12638-12645. (2018) S. Keller, G. Korkmaz, C. Robbins, S. Shipp

  • Predicting Postsecondary Trajectories in Virginia High Schools using Publicly Available Data ABS
    Statistical Journal of the IAOS, 3(4):553-565. (2018) B. Pires, I. Crandell, M. Arnsbarger, V. Lancaster, S. Keller, A. Schroeder, S. Shipp, W. Kang, P. Robinson

  • Helping Communities Use Data to Make Better Decisions ABS
    Issues in Science and Technology, Spring:83-89. (2018) S. Keller, S. Nusser, S. Shipp, C. Woteki

  • Estimating individualized exposure impacts from ambient ozone levels: A synthetic information approach
    Environmental Modelling & Software, 103:146-157. (2018) B. Pires, G. Korkmaz, K. Ensor, D. Higdon, S. Keller, B. Lewis, B., and A. Schroeder

  • Harnessing the power of data to support community‐based research ABS
    WIREs Comp Stat doi: 10.1002/wics.1426. (2018) S. Keller, S. Shipp, G. Korkmaz, E. Molfino, J. Goldstein, V. Lancaster, B. Pires, D. Higdon, D. Chen, A. Schroeder

  • A New Lens on High School Dropout: Use of Correspondence Analysis and the Statewide Longitudinal Data System ABS
    The American Statistician, 72(2):191-198. (2018) K. S. Ziemer, B. Pires, V. Lancaster, S. Keller, M. Orr, and S. Shipp

  • Building Capacity for Data Driven Governance - Creating a New Foundation for Democracy ABS
    Statistics and Public Policy, 4:1-11. (2017) S. A. Keller, V. Lancaster, S. Shipp

  • A Bayesian Simulation Approach for Supply Chain Synchronization ABS
    Simulation Conference (WSC), 2017 Winter (pp. 571-1582). IEEE. (2017) B. Pires, J. Goldstein, D. Higdon, S. Reese, P. Sabin, G. Korkmaz, S. Ba, K. Hamall, A. Koehler, S. Shipp, S. Keller

  • The Evolution of Data Quality: Understanding the Transdiciplinary Origins of Data Quality Concepts and Approaches ABS
    Annual Review of Statistics and Its Application, 4:85-108. (2017) S. A. Keller, G. Korkmaz, M. Orr, A. Schroeder, S. Shipp

  • Does Big Data Change the Privacy Landscape? A Review of the Issues ABS
    Annual Review of Statistics and Its Application, 3:161-180. (2016) S. A. Keller, S. Shipp, A. Schroeder