Kai Yu, Ph.D.
NCI Shady Grove | Room 7E630
Dr. Yu received a Ph.D. in biostatistics from the University of Pittsburgh in 2000, and had postdoctoral training in statistical genetics at Stanford University. He joined NCI in 2005 as a tenure-track investigator, and was awarded scientific tenure by the NIH and appointed senior investigator in 2012. In 2009, he received an NIH Merit Award for developing creative statistical methods for genetic epidemiologic studies. He is an elected Fellow of the American Statistical Association.
Dr. Yu's research addresses a wide variety of statistically and computationally challenging problems that have arisen in design and analysis of modern high-dimensional genetic and molecular epidemiologic studies.
- Statistical methods for genetic and genomic studies
- Tree-based models and applications in molecular epidemiology studies
- Integrative analysis using individual-level and summary-level data
- Extremely small P-value Evaluation for Resampling-based Test (EXPERT)
- Bayesian model for Detecting Gene Environment interaction (BaDGE)
- Bayesian Subset Regression (BSR)
- Summary statistics-based genetic pathway analysis software (ARTP2)
- Generalized Integration Model for combining summary statistics with individual-level data (GIM)
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