I am an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University and a member of the Duke Clinical Research Institute. Before joining Duke, I was a postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health, working with Dr. Elizabeth A. Stuart. I received my PhD in biostatistics at the University of Minnesota under the supervision of Dr. Bradley P. Carlin and my MS in biostatistics at Harvard University.
My research is at the interface of statistical method development and biomedical application to answer clinical and scientific questions in public health and medicine. I am interested in developing methodologies for comparative effectiveness research, network meta-analysis, causal inference with error-prone covariates, borrowing information adaptively across different data sources, generalizability of clinical study findings to target populations, and synthetic control in clinical trials. The particular statistical methods and framework that I work on are Bayesian hierarchical models.
In addition to my core research projects, I am actively collaborating with many other researchers including biostatisticians, epidemiologists, clinicians, and health policymakers. I greatly enjoy working with collaborative teams, and developing and applying various methods directly motivated by real world problems.
My research is at the interface of statistical method development and biomedical application to answer clinical and scientific questions in public health and medicine. I am interested in developing methodologies for comparative effectiveness research, network meta-analysis, causal inference with error-prone covariates, borrowing information adaptively across different data sources, generalizability of clinical study findings to target populations, and synthetic control in clinical trials. The particular statistical methods and framework that I work on are Bayesian hierarchical models.
In addition to my core research projects, I am actively collaborating with many other researchers including biostatisticians, epidemiologists, clinicians, and health policymakers. I greatly enjoy working with collaborative teams, and developing and applying various methods directly motivated by real world problems.
Education and training
- Postdoctoral Fellow, Johns Hopkins University, US
- PhD '13 in Biostatistics, University of Minnesota, US
- MS '10 in Biostatistics, Harvard University, US
- BS '08 in Statistics, Chung-Ang University, Korea