Jay Emerson is an Adjunct Professor in the Department of Statistics and Data Science at Yale University. He serves as Co-Director of Graduate Studies and focuses on the intersection of statistical methods and data science. With a strong background in statistical methodologies, he specializes in Bayesian methods, bioinformatics, and statistical computing. His research interests also span graphical methods and classification, aligning closely with contemporary challenges in data analysis and interpretation in various scientific domains. With a commitment to academic excellence, he guides graduate students in developing their expertise in these fields, fostering a robust understanding of both theoretical and applied statistics.
Yale University • New Haven, CT
Teaching graduate-level courses in Statistics and Data Science.