Professor of Statistics (Adjunct), Yale University
Williams College, BA; Oxford University, MPhil; Yale University, PhD
Professor Jay Emerson teaches a range of graduate and undergraduate courses as well as wokshops, tutorials and short courses at all levels around the world. His interests are in computational statistics and graphics, and his applied work ranges from topics in sports statistics to bioinformatics, environmental statistics, and Big Data challenges. Recent research includes studies of microarray breast cancer data, clustering of countries by environmental performance, and graphical methods of data analysis. Emerson is the author of several R packages including bcp (for Bayesian change point analysis), bigmemory and sister packages (towards a scalable solution for statistical computing with massive data), and gpairs (for generalised pairs plots).