The list, which includes 76 data scholars from around the world, highlights academic leaders who champion analytics-driven concepts and inspire the next wave of data scientists through collaboration and guidance.
Booth’s research interests involve basic statistical methodology including the bootstrap and Monte Carlo methods, clustering, exact inference, mixed models, generalized linear models, and also applications in bioinformatics.
He arrived to Cornell University in 2004 as a professor in the the Department of Biological Statistics and Computational Biology. During his time at Cornell, Booth has taught a variety of courses, including Statistical Methods II, Biological Statistics I, Data Science for All, as well as core courses for statistics undergraduates, professional masters students, and Ph.D. students in the fields of statistics. He also contributes to the campus-wide statistical consulting service – the Cornell Statistical Consulting Unit.