About Me
Welcome to my home page. I am currently a NIH K99/R00 postdoctoral fellow at UCLA advised by Kirk Lohmueller and Srirram Sankararaman. Previously I postdoced with Emilia Huerta-Sanchez at University of California, Merced. I hold a PhD degree in Genetic Anthropology from University of California, Davis (2017), and a BS degree in Biology from Beijing Normal University (2012).
As an anthropological geneticist by training, I conduct research that lies at the intersection of anthropology, empirical population genetics, and statistical methods development. I use various genomic datasets, evolution theories and quantitative methods to answer a series of questions under the big picture of human evolution. I am particularly driven by a fundamental question of how admixture and natural selection interact with each other, and my current research avenues are inter-connected by this core question that each addresses the problem from a different perspective.
Some of my recent projects include: 1) Examining the genomic consequences of Denisovan introgression in high altitude adaptation in Tibetan population; 2) Using extensive simulations and machine learning methods to infer adaptive introgression accounting for the effect of deleterious variants; 3) The inference of dominance and the development of non-additive models for estimating complex diseases in recently admixed human populations.
For the details of my ongoing research projects and PhD dissertation, please refer to the link below.
As an anthropological geneticist by training, I conduct research that lies at the intersection of anthropology, empirical population genetics, and statistical methods development. I use various genomic datasets, evolution theories and quantitative methods to answer a series of questions under the big picture of human evolution. I am particularly driven by a fundamental question of how admixture and natural selection interact with each other, and my current research avenues are inter-connected by this core question that each addresses the problem from a different perspective.
Some of my recent projects include: 1) Examining the genomic consequences of Denisovan introgression in high altitude adaptation in Tibetan population; 2) Using extensive simulations and machine learning methods to infer adaptive introgression accounting for the effect of deleterious variants; 3) The inference of dominance and the development of non-additive models for estimating complex diseases in recently admixed human populations.
For the details of my ongoing research projects and PhD dissertation, please refer to the link below.
