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Dr. Xiaoming Liu joined the
University of South Florida College of Public Health Genomics program in 2018
as an Associate Professor. He received a BS and a MS in genetics from Fudan
University, China, and a PhD in genetics with an emphasis on population
genetics from The University of Texas Graduate School of Biomedical Sciences.
His research interests lie in understanding the variants observed in human
genomes. He develops novel statistical and computational methods to analyze DNA
sequence data from three perspectives: population genetics,
bioinformatics and genetic epidemiology. In population genetics, he
developed the stairway plot method, a model-flexible method to estimate
population demographic history using neutral SNP frequency spectra (SFS). His current
research focus is inferring prehistoric demographic events of human populations
using SFS and IBD segments. In bioinformatics, he developed a serial of tools
to facilitate functional annotation and pathogenetic prediction of human DNA
variants, including dbNSFP, a functional annotation database for non-synonymous
SNVs, and WGSA, a whole genome functional annotation pipeline. In genetic
epidemiology, his research interest is utilizing functional annotation and
pathogenic prediction to improve the power of genotype-phenotype association
analysis. His research interests also large-scale sequencing based Mendelian
disease study, quantitative genetics of human traits and Darwinian medicine.