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. 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. In 2009, he received an NIH Merit Award for developing creative statistical methods for genetic epidemiologic studies.
- Statistical methods for genetic and genomic studies
- Tree-based models and applications in molecular epidemiology studies
- Machine learning approaches for automated cervical screening and triage
- 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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