معرفی
Tyler McCormick is a Professor in the Departments of Statistics and Sociology at the University of Washington. He also holds core faculty positions at the Center for Statistics and the Social Sciences (CSSS), is a Senior Data Science Fellow at the eScience Institute, and a research affiliate at the Center for Studies in Demography and Ecology (CSDE). McCormick earned his Ph.D. in Statistics from Columbia University in 2011. His research focuses on statistical methodology for social and health sciences, including network analysis, causal inference, and uncertainty quantification in predictive models.
Research interests include:
- Modeling social networks and peer influence
- Estimating causes of death using verbal autopsy data
- Improving global health decision-making through better uncertainty communication
- Methodological advancements in causal inference and experimental design under network interference
He has received significant recognition, including the NIH Director’s New Innovator Award (2019) and election as a Fellow of the American Statistical Association (2023). McCormick has contributed to influential projects such as the OpenVA toolkit for verbal autopsy analysis and has published widely in Journal of Computational and Graphical Statistics and other top venues.
Grants and funding include support from the Simons Foundation. Current research includes postdoctoral openings focusing on spillover effects in networks and robust statistical methods for factorial data. His work has been featured in the Wall Street Journal and Washington Post.
