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Research interests: Statistical Genetics, Mathematical Modeling, and Computational Biology.

My research falls into three related but different areas: to develop mathematical and statistical tools to locate genetic mutations responsible for complex diseases or traits; to develop computational tools to understand molecular functions combining different information such as protein-protein interactions, gene expression and regulatory elements; and to develop computational tools for metagenomics. The primary objective is to develop mathematical, statistical, and computational tools to solve biological problems.

Our major accomplishments include: (1) dynamic programming algorithms for haplotype block partition and tagSNP selection and their applications to association studies; (2) integrated approached for protein function prediction, domain interaction prediction and pathway inference; (3) integrated approaches for disease gene identification.