My method reserach has been mostly motivated by problems in genetics, genoimics and metagenomics. I have worked on a variety of problems in statistical genetics and genomics, including methods for family-based genetic linkage and association analysis, methods for admixture mapping, methods for genome-wide association analysis, methods for analysis of microarray time course gene expression data, high dimensional regression analysis for genomic data, methods for copy number variation analysis and methods for analysis of next generation sequence data. I have published both statistical methodological research in top statistics/biostatistics journals (JASA, AOS, AOAS, Biometrika, Biometrics, Biostatistics etc ) and in top genetics journals (AJHG, Plos Genetics, etc) and collaborative research in top scientific journals ( Science, NEJM, Nature, Nature Genetics, PNAS, Developmental Cell, Cancer Cell etc).
My current collaboration includes several genome-wide association studies, analysis of human microbiome data, analysis of heart failure eQTL data and genomics of ovarian cancer.
Current Methodological Projects(1) Methods for analysis of high dimensional compositional data.
(2) Statistical methods for high dimensional mediation analysis.
(3) Integrative analysis of GWAS and eQTL data.