Lance Waller
Professor
Faculty, Biostatistics and Bioinformatics
Jointly Appointed, Environmental Health
Lance A. Waller is Professor in the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University. He received his B.S. in Mathematics from New Mexico State University (1986), and his Ph.D. in Operations Research from Cornell University (1991). Prof. Waller leads the Woodruff Health Science Center's Strategic Initiative in Data Science. He is currently a member of the U.S. National Academy of Science Board on Mathematical Science and Analytics and serves as co-Chair of the Committee on Applied and Theoretical Statistics. Prof. Waller was recently appointed to a three-year term on the US Census Bureau's Scientific Advisory Committee.
His research involves the development and application of statistical methods for spatially referenced data including applications in environmental justice, neurology, epidemiology, disease surveillance, conservation biology, and disease ecology. He has published in a variety of biostatistical, statistical, environmental health, and ecology journals and is co-author with Carol Gotway of the text Applied Spatial Statistics for Public Health Data (2004, Wiley).
Contact Information
Department of Biostatistics , Rollins School of Public Health, Emory University
Atlanta , GA 30322
Rollins School of Public Health, Emory University
Phone: (404) 727-1057
Fax: (404) 727-1370
Email: lwaller@emory.edu
Areas of Interest
- Biostatistics
- Data Science
- Disease Surveillance
- Infectious Disease
- Public Health Preparedness and Response
- Spatial Analysis/GIS
- Statistical Modeling
Education
- PhD 1991, Cornell University
- MS 1990, Cornell University
- BS 1986, New Mexico State University
Affiliations & Activities
Dr. Waller is also on the graduate faculty in Environmental Health Sciences, and the Population Biology, Evolution, and Ecology program in the Graduate Division of Biomedical and Biological Sciences.
Dr. Waller is a member of the National Academies' Board on Mathematical Sciences and Analytics.
Dr. Waller is co-chair of the National Academies' Committee on Applied and Theoretical Statistics.
Dr. Waller is on the U.S. Census Bureau's Scientific Advisory Committee.
Dr. Waller is on the Independent Advisory Committee for Global Burden of Disease.
Dr. Waller is on the Editorial Board of Nature Publishing Group's Scientific Data.
Publications
- Conroy, B, Waller, L.A., Buller, I.D., Hacker, G.M., Tucker, J.R., and Novak, M.G., 2023, A shared latent process model to correct for preferential sampling in disease surveillance systems., Journal of Agricultural, Biological, and Environmental Statistics, ,
- Waller LA and Levi T, 2021, Building Intuition Regarding the Statistical Behavior of Mass Medical Testing Programs, Harvard Data Science Review, ,
- Lance Waller, 2010, Mapping the links between statistics and health, , ,
- Wheeler, D.C. and Waller, L.A., 2008, Mountains, valleys, and rivers: The transmission of raccoon rabies over a heterogeneous landscape, Journal of Agricultural, Biological, and Environmental Statistics, ,
- Levy, M.Z., Bowman, N.M., Kawai, V., Waller, L., Cornejo del Carpio, J.G., Cordova Benzaquen, E., Gilman, R.H., Bern, C., 2006, Periurban Trypanosoma cruzi–infected Triatoma infestans, Arequipa, Peru, Emerging Infectious Diseases, 12, 1345-1352
- Waller, L. A. and Gotway, C. A., 2004, Applied Spatial Statistics for Public Health Data, John Wiley and Sons, , ,
- Waller, L.A., 2004, Invited Commentary: Surveilling surveillance - Some statistical comments, American Journal of Epidemiology , 159, 225-227
- Waller, L.A., Smith, D., Childs, J E. and Real, L.A. , 2003, Monte Carlo assessments of goodness-of-fit for ecological simulation models, Ecological Modelling, 164, 49-63
- Smith, D., Lucey, B., Waller, L.A., Childs, J.E. and Real, L.A., 2002, Predicting the spatial dynamics of rabies epidemics on heterogeneous landscapes, Proceedings of the National Academy of Sciences, 99, 3668-3672
- Waller, L.A., Carlin, B.P., Xia, H. and Gelfand, A. , 1997, Hierarchical spatio-temporal mapping of disease rates, Journal of the American Statistical Association , 92, 607-617