Professor of Statistics, Adjunct Professor of Molecular BioSciences, Faculty member of NSF-Simons Center for Quantitative Biology
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, RNA-seq normalization, 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) and SPECIES (for species number estimation, see CRAN).
Estimating the species richness by a Poisson-compound Gamma model, Biometrika, 2010, 97(3): 727-740
A base pair resolution map of nucleosome positions in yeast (with Brogaard, Xi and Widom), Nature, 2012, 486: 496–501
Chemical map of Schizosaccharomyces pombe reveals species-specific features in nucleosome positioning (with Moyle-Heyman et al), PNAS, 2013,110(50),20158-20163
A locally convoluted cluster model for nucleosome positioning signals in chemical map (with Xi et al), Journal of American Statistical Association, 2014, 109(505) 48-62
Insights into Nucleosome Organization in Mouse Embryonic Stem Cells through Chemical Mapping (with Voong et al), Cell, 2016, 167(6),1555-1570.e15, highlighted in Nature Reviews Molecular Cell Biology