معرفی
James G Booth is a Professor in the Department of Biological Statistics and Computational Biology at Cornell University, a position he has held since 2004. He also holds an appointment in the Department of Statistical Science within the Computing and Information Science school. His academic career spans prior faculty roles at the University of Florida (1987-2003) and research fellowships at the Australian National University and Colorado State University.
- Ph.D. in Statistics, University of Kentucky (1987)
- B.S. in Mathematics, University of Leeds (1981)
Booth's research focuses on statistical methodology for biological data, including bootstrap/Monte Carlo methods, mixed models, generalized linear models, and variable selection. His work bridges computational statistics with applications in bioinformatics, epidemiology, and social science, particularly in disease surveillance, antimicrobial resistance analysis, and religion-climate change dynamics.
Recent publications emphasize Bayesian modeling, high-dimensional classification, wildlife disease prediction, and social determinants of climate policy indifference. He has contributed to software tools like MAGMa for proteomic analysis and RRmix for metabolomics batch correction.
