Assistant Professor of Biostatistics & Bioinformatics
I am interested in developing Bayesian statistical methods for comparative effectiveness research, network meta-analysis, causal inference, measurement error, and generalizability. A flexible Bayesian modeling framework enables us to easily integrate different data sources and borrow information adaptively across them. The ultimate goal of my research is to provide comprehensive evidence from multiple data sources for answering clinical and scientific questions in public health and medicine.
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Education, Training, & Certifications
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