Our Members

Yajuan Si, Ph.D., is a research associate professor at the Institute for Social Research and a research associate professor of biostatistics at the School of Public Health. Her research focuses on cutting-edge statistical methodology linking design- and model-based approaches for survey inference, missing data analysis, confidentiality protection involving the creation and analysis of synthetic datasets, and causal inference with observational data. Yajuan has established her research agenda on advancing survey inference with Bayesian modeling techniques and adjusting for selection/nonresponse bias in complex data modeling with various types of data (e.g., survey and big data) and across broad substantive disciplines.