David L. Banks
Professor of the Practice of Statistical Science
David Banks obtained an M.S. in Applied Mathematics from Virginia Tech in 1982, followed by a Ph.D. in Statistics in 1984. He won an NSF Postdoctoral Research Fellowship in the Mathematical Sciences, which he took at Berkeley. In 1986 he was a visiting assistant lecturer at the University of Cambridge, and then joined the Department of Statistics at Carnegie Mellon in 1987. In 1997 he went to the National Institute of Standards and Technology, then served as chief statistician of the U.S. Department of Transportation, and finally joined the U.S. Food and Drug Administration in 2002. In 2003, he returned to academics at Duke University.
David Banks was the coordinating editor of the Journal of the American Statistical Association. He co-founded the journal Statistics and Public Policy and served as its editor. He co-founded the American Statistical Association's Section on National Defense and Homeland Security, and has chaired that section, as well as the sections on Risk Analysis and on Statistical Learning and Data Mining. In 2003 he led a research program on Data Mining at the Statistical and Applied Mathematical Sciences Institute; in 2008, he led a research program at the Isaac Newton Institute on Theory and Methods for Complex, High-Dimensional Data; in 2012, he led another SAMSI research program, on Computational Advertising. He has published 74 refereed articles, edited eight books, and written four monographs.
David Banks is past-president of the Classification Society, and has twice served on the Board of Directors of the American Statistical Association. He is currently the president of the International Society for Business and Industrial Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics. He recently won the American Statistical Association's Founders Award.
His research areas include models for dynamic networks, dynamic text networks, adversarial risk analysis (i.e., Bayesian behavioral game theory), human rights statistics, agent-based models, forensics, and certain topics in high-dimensional data analysis.
HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms awarded by National Science Foundation (Senior Investigator). 2019 to 2022
BIMD - Collaborate Research Agreement awarded by (Co Investigator). 2018 to 2020
Bayer Sponsored Research Agreement awarded by (Principal Investigator). 2018 to 2020
13th ISBA World Meeting on Bayesian Statistics awarded by National Science Foundation (Principal Investigator). 2016 to 2017
LAS DO5: Information Theoretic Measures for Complex and Uncertain Data awarded by North Carolina State University (Co-Principal Investigator). 2015
Future States Processing Support awarded by North Carolina State University (Co-Principal Investigator). 2014 to 2015
RTI Research on Development of Drug Use Models awarded by Research Triangle Institute (Principal Investigator). 2013
Collaborative Research: Statistical Methods for Analyzing Complexity and Growth of Large Biological and Information Netw awarded by National Science Foundation (Principal Investigator). 2011 to 2013
Models for Network Evolution: A Study of Growth and Structure in the Wikipedia awarded by National Science Foundation (Principal Investigator). 2009 to 2011
Moral Mathematics: The Science of Human Rights awarded by Josiah Charles Trent Memorial Foundation (Principal Investigator). 2008
Banks, D. “Discussion of “Machine learning applications in non-life insurance”.” Applied Stochastic Models in Business and Industry, Jan. 2020. Scopus, doi:10.1002/asmb.2537. Full Text
Chen, X., et al. “Bayesian dynamic modeling and monitoring of network flows.” Network Science, vol. 7, no. 3, Sept. 2019, pp. 292–318. Scopus, doi:10.1017/nws.2019.10. Full Text
Amin, R. W., et al. “Patterns of Pediatric Cancers in Florida: 2000–2015.” Statistics and Public Policy, vol. 6, no. 1, Jan. 2019, pp. 24–35. Scopus, doi:10.1080/2330443X.2019.1574686. Full Text
Banks, D. “Response to “Discretionary Wars, Cost-Benefit Analysis, and the Rashomon Effect”.” Statistics and Public Policy, vol. 6, no. 1, Jan. 2019, pp. 122–23. Scopus, doi:10.1080/2330443X.2019.1688741. Full Text