Dr. Matthew Stephens

Biography

Matthew Stephens is the Ralph W. Gerard Professor in the Departments of Statistics and Human Genetics at the University of Chicago. His research focuses on the intersection of statistics and genetics, where he tackles problems requiring novel statistical methods and computational components. In particular, his work addresses the challenges posed by increasingly large datasets, often utilizing modern high-dimensional statistical methods. He makes extensive use of Bayesian hierarchical models to borrow information across datasets and sampling units. Stephens's lab prioritizes open and reproducible research, fostering greater collaboration among scientists to achieve shared objectives. Notably, his current research interests encompass topics such as sparsity, shrinkage, false discovery rates, factor analysis, dimension reduction, estimation of large covariance matrices, and clustering methods, especially in the context of genomic data. He is dedicated to developing resources, like R packages, to assist students in creating research websites and analyses, emphasizing the importance of clear, shareable research methodologies.

Research Interests

Experience

Awards