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.