Dr. Zhu received a Ph.D. in biostatistics from the University of Michigan in 2010 and then spent two years as a post-doctoral associate at the Department of Statistical Science and the Center for Human Genetics at Duke University. He joined the Biostatistics Branch of DCEG in 2012 as a tenure-track investigator.
Developing and applying novel statistical methods to increase understanding of biological mechanisms underlying complex diseases, and studying the pattern and determinants of disease in human population. The primary foci of current research include:
- Functional data analysis for time series and longitudinal data, and its applications to oncology, proteomics and epidemiology
- Statistical genetics in admixture mapping, copy number variation, recombination hotspot identification, genome-wide association study and next-generation sequencing data
- Nonparametric Bayes and Bayesian variable selection for large-scale and high-dimensional complex data
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