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Professor Booth is currently Chair of the Department of Biological Statistics and Computational Biology in the College of Agriculture and Life Sciences at Cornell University. He came to Cornell in 2003 as a visitor to the Department of Operations Research and Information Engineering, and was hired in BSCB the following year. From 1987 to 2003 he was a faculty member in the Department of Statistics at the University of Florida. His main research interests involve basic statistical methodology including: the bootstrap and Monte Carlo methods, clustering, exact inference, mixed models, generalized linear models, applications of the saddlepoint and Laplace approximations and model fitting algorithms.
Since coming to Cornell Professor Booth has taught the Statistical Methods II course for graduate students from a wide variety of disciplines, Theory of Linear and Generalized Linear Models primarily for Ph.D. students in the Department of Statistical Sciences, and special topics courses on Categorical Data Analysis and Likelihood and Bayesian Statistical Methods.
As a faculty member in BSCB he is also actively involved in the Cornell Statistical Consulting Unit which provides free advice on statistical issues to faculty and students at Cornell.