Visiting PhD Student
My PhD research at the University of Missouri occurs at the intersection of quantitative genetics, population genomics, and animal breeding, all with the ultimate goal of improving the efficiency and sustainability of livestock populations. I am interested in how we can use genome-wide linear mixed models (GWAS) in creative ways to identify and map the effects of polygenic selection and local adaptation on the genome. My main research project applies these approaches to United States beef cattle populations. Using SNPs that we identify as being under region-specific selection, we hope to generate environment-specific genomic predictions for animals that capitalize on these beneficial GxE effects.
Additionally, I’ve worked extensively on the optimization of an imputation pipeline with a focus on rare variant imputation accuracy. I'm particularly interested in how the inclusion of rare variation impacts the accuracy of genomic prediction and our ability to identify causal variants in GWAS.
During my visit with the AlphaGenes group, I'll be using simulations to validate a method for detecting polygenic selection in populations that have longitudinal genomic data.
2016-present: PhD Candidate
PhD in Genetics. Division of Animal Sciences - University of Missouri, USA.
2012-2016: BSc Biology
Creighton University, USA.