Professor Dyer is an assistant professor of accounting at the Samuel Curtis Johnson Graduate School of Management. His research focuses primarily on the determinants and outcomes of both disclosure and information retrieval choices by capital market participants, with a particular interest in capitalizing on new statistical analysis techniques such as machine learning. His research has been published in leading journals, including the Journal of Accounting and Economics, the Journal of Financial Reporting, and Auditing: a Journal of Practice and Theory. Before joining Cornell University, he obtained his PhD in Accounting from the Kenan-Flagler Business School at the University of North Carolina. He currently teaches financial statement analysis for the MBA programs.