معرفی
David Banks is Professor of the Practice of Statistics at Duke University, specializing in adversarial risk analysis and network modeling. With an MS in Applied Mathematics (1982) and PhD in Statistics (1984) from Virginia Tech, he held positions at Carnegie Mellon, NIST, USDOT, FDA, and Cambridge University before joining Duke in 2003.
Research develops Bayesian methods for security applications including counterterrorism, autonomous systems, and blockchain. Authored 100+ refereed articles and books including the DeGroot Award-winning 'Adversarial Risk Analysis'. Current projects examine MEV distribution in blockchain and defense resource allocation under uncertainty.
Honored with the American Statistical Association's Founders Award (2015) and fellowships in AAAS, IMS, and ASA. Leads NSF-funded initiatives including the Statistical and Applied Mathematical Sciences Institute (2018-2022). Editorial contributions include coordinating editor for JASA and founding editor of Statistics and Public Policy.
Active in human rights statistics, co-editing 'Statistical Methods for Human Rights' and developing multiple systems estimation for trafficking victim counts.
