Tyler McCormick receives NIH New Investigator Award

CSSS core faculty member and Associate Professor of Statistics and Sociology Tyler McCormick has been awarded a National Institutes of Health (NIH) Director’s New Innovator Award.  The five-year award supports Tyler's project titled, Big Data, Big Models, and Big Bias?: A decision making framework for vital rate estimates based on extrapolation.

Via NIH: 

"Tyler's work develops statistical models for inference and prediction in scientific settings where data are sparsely observed or measured with error. His recent projects include estimating features of social networks (e.g. the degree of clustering or how central an individual is) using data from standard surveys, inferring a likely cause of death (when deaths happen outside of hospitals) using reports from surviving caretakers, and quantifying & communicating uncertainty in predictive models for global health policymakers. He holds a Ph.D. in Statistics (with distinction) from Columbia University and, along with the Director's New Innovator Award, is the recipient of an NIH Career Development (K01) Award, Army Research Office Young Investigator Program Award, and a Google Faculty Research Award. Currently, he is an Associate Professor of Statistics and Sociology at the University of Washington, where he is also a core faculty member in the Center for Statistics and the Social Sciences and a Senior Data Science Fellow in the eScience Institute. Tyler serves as the Editor for the Journal of Computational and Graphical Statistics (JCGS)."