Executive Leadership
Social and Decision Analytics

Sallie Keller

  • Division Director
  • Distinguished Professor in Biocomplexity, Biocomplexity Institute
  • Professor of Public Health Sciences, School of Medicine
Sallie Keller headshot
Bio

Bio

Dr. Sallie Ann Keller is an endowed Distinguished Professor in Biocomplexity, 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 an Elected Member of the National Academy of Engineering. She 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

    • 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

Awards and Honors

  • Elected Member of International Statistical Institute
    2012
  • Jerome Sacks Award for Outstanding Cross-Disciplinary Research, National Institute of Statistical Sciences
    2010
  • John V. Atanasoff Research and Discovery Award, Iowa State University
    2009
  • Fellow of the American Association for the Advancement of Science
    2005
  • National Associate of the National Academy of Sciences, Engineering, and Medicine
    2002
  • Founder’s Award American Statistical Association
    2002
  • Fellow of the American Statistical Association
    1997
  • Director’s Award for Outstanding Program Management, National Science Foundation
    1996
In the News
Data Science for the Public Good

Over the last five summers, students from across the country have come together at the Biocomplexity Institute’s Arlington, Va. location for the Data Science for the Public Good (DSPG) Young Scholars program – an 11-week immersive research program through which students gain world-class, hands-on professional experience combining data science and public service. This year, as the world continues to evolve due to the COVID-19 pandemic, the program has followed suit, adopting an entirely virtual format for the first time.

Economic Mobility

From local neighborhoods and schools to courtrooms, hospitals, fields, and forests, data are everywhere, providing us the power to solve problems like never before. Communities large and small now have access to a wealth of data they can use to assess conditions, develop strategies and policies, evaluate impact, and make critical decisions. However, not all communities – particularly those that are small or rural – have the expertise or resources necessary to access and leverage complex data for real-world benefits.

Selected Publications
Social and Decision Analytics
Harvard Data Science Review, 2(1).: (2020) Keller SA, Shipp SS, Schroeder AD, Korkmaz G.
Social and Decision Analytics
The Resilience Challenge: Looking at Resilience through Multiple Lens, Charles C Thomas Ltd Publishers.: (2018) Keller S, Shipp S.
Social and Decision Analytics
WIREs Computational Statistics, doi: 10.1002/wics.1426.: (2018) Keller S, Shipp S, Korkmaz G, Molfino E, Goldstein J, Lancaster V, Pires B, Higdon D, Chen D, Schroeder A.
Social and Decision Analytics
Issues in Science and Technology, Spring:83-89. : (2018) Keller S, Nusser S, Shipp S, Woteki C.
Social and Decision Analytics
Proceedings of the National Academy of Sciences (PNASs), 115 (50):12638-12645. : (2018) Keller S, Korkmaz G, Robbins C, Shipp S.
Social and Decision Analytics
Statistics and Public Policy, 4:1-11.: (2017) Keller SA, Lancaster V, Shipp S.
Social and Decision Analytics
Annual Review of Statistics and Its Application, 4:85-108.: (2017) Keller SA, Korkmaz G, Orr M, Schroeder A, Shipp S
Social and Decision Analytics
Annual Review of Statistics and Its Application, 3:161-180.: (2016) Keller SA, Shipp S, Schroeder A
Social and Decision Analytics
Leadership and Women in Statistics, In A. Golbeck, Ingram Olkin, Y. Gel (Eds.), CRC Press, Boca Raton, Florida: (2015) Keller S, Heimel J.
Social and Decision Analytics
Journal of the American Statistical Association, 102(478):395-399.: (2007) Keller-McNulty S.