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 a human population geneticist by training, I conduct research that lies at the intersection of anthropology, empirical population genetics, and statistical methods development. I use various empirical 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 a human population geneticist by training, I conduct research that lies at the intersection of anthropology, empirical population genetics, and statistical methods development. I use various empirical 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.
