Email: roeder at stat.cmu.edu
The primary goal of Dr. Roeder’s research group is to develop statistical tools for finding associations between patterns of genetic variation and complex disease. Current data typically involves Next Generation Sequencing and gene expression, including RNAseq. Her methodological work is motivated by studies of schizophrenia, autism and other genetic disorders.
Kathryn Roeder is Professor of Statistics and Computational Biology. Currently her work focuses on statistical genetics and the genetic basis of complex disease. Her group has published extensively on methods for gene mapping and the genetics of autism. Roeder’s career began in the biological sciences, during which time she spent a year living in the wilderness regions of the Pacific Northwest as a research assistant for the Department of Wildlife Resources. In 1988 she received her Ph.D. in Statistics from Pennsylvania State University. Next she spent 6 years on the Statistics faculty at Yale University where she played a pivotal role developing the foundations of DNA forensic inference. In 1994 Roeder joined the Department of Statistics at Carnegie Mellon University. She has developed statistical methods in a wide spectrum of areas, including high dimensional inference, mixture models and nonparametric statistics. She has served as an associate editor of JASA, Biometrics and American Journal of Human Genetics. She is an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics. In 1997 she received the COPSS Presidents award and the Snedecor Award for outstanding work in statistical applications.
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