My research interests are in the statistical applications in biology and medical sciences. My recent work concerns developing statistical methods and tools for large-scale, high-dimensional genomic, genetic and human brain mapping data. Some working topics include species number estimation, nucleosome positioning mapping, next-generation sequencing analysis, fMRI data in human brain mapping and Bayesian network with applications to The Cancer Genome Atlas (TCGA) data. My lab has developed a few software tools that have been frequently used by researchers, including NuPoP (for nucleosome positioning prediction, see bioconductor), SPECIES (for species number estimation), and NuCMap (for chemical mapping of nucleosome positions).
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