I am Professor of Statistics and Computational Biology, and Vice Provost for Faculty, Carnegie Mellon University. In earned my Ph.D. in statistics at Pennsylvania State University, after which I worked at Yale University for the next six years before coming to CMU in 1994. In 1997 I received the COPSS Presidents’ Award for the outstanding statistician under age 40, and the Snedecor Award for outstanding work in statistical applications. In 2013, I received the Janet L. Norwood Award for outstanding achievement by a woman in statistical sciences. I joined the Computational Biology Department as a voting faculty member in 2004 to encourage a bridge between statistics, machine learning, genetics and genomics. I am an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics.
A primary goal of my research group is to develop statistical tools for finding associations between patterns of genetic variation and complex disease. To solve biologically relevant problems, we utilize modern statistical methods such as high dimensional statistics, statistical machine learning, nonparametric methods and networks. Data arises from primarily from Next Generation Sequencing and gene expression arrays. Our methodological work is motivated by our studies of schizophrenia, autism and other genetic disorders.