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James Booth is a Professor and the Department Chair of the Department of Statistics and Data Science at Cornell University, where he has been a faculty member for over 20 years. He previously served as the chair of the Department of Biological Statistics and Computational Biology. His research interests include basic statistical methodology, bootstrap Monte Carlo methods, clustering, exact inference, mixed models, generalized linear models, and applications in bioinformatics. Booth is a Fellow of the American Statistical Association and has been involved with the Board of Trustees of the National Institute of Statistical Science since 2012. He holds a Ph.D. in statistics from the University of Kentucky and has previously held a position as an associate professor and full professor at the University of Florida. His research areas include Asymptotic Statistics, Bayesian Analysis, High-dimensional Statistics, Machine Learning, Model Selection, and Statistical Genetics.
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