734-7646935

Applications:
Healthcare Management and Outcomes, Population Sciences, Social Sciences
Methodologies:
Algorithms, Bayesian Methods, Causal Inference, Computational Tools for Data Science, Data Collection Design, Data Mining, Heterogeneous Data Integration, High-Dimensional Data Analysis, Longitudinal Data Analysis, Machine Learning, Missing Data and Imputation, Predictive Modeling, Statistical Inference, Statistical Modeling, Statistics, Survey Methodology
Relevant Projects:

NSF, NIH, ARHQ, USDA, NISS


Connections:

American Statistical Association, International Society for Bayesian Analysis

Yajuan Si

Research Assistant Professor

Survey Research Center, Institute for Social Research

My research lies in cutting-edge methodology development in streams of Bayesian statistics, complex survey inference, missing data imputation, causal inference, and data confidentiality protection. I have extensive collaboration experiences with health services researchers and epidemiologists to improve healthcare and public health practice, and have been providing statistical support to solve sampling and analysis issues on health and social science surveys.