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I am a PhD candidate in the Department of Biostatistics at the University of Michigan. I have been working with Prof. Xiang Zhou on developing statistical methods for genetic and genomic datasets. My recent focus is on developing methods for analyzing spatial transcriptomics. I also work closely with Prof. Jennifer Smith in the Department of Epidemiology at the University of Michigan on large-scale quantitative trait mapping in African Americans in the GENOA study.
I will join the Department of Biostatistics at MD Anderson Cancer Center as a tenure-track assistant professor in Sep 2023.
My research interest is in developing effective and efficient statistical and computational methods in single cell and spatial transcriptomics to address critical biological problems such as omics data dimension reduction and integration in genetics and genomics. Specifically, my work consists of three important directions: (1) developing efficient and powerful computational and statistical methods in single cell and spatial transcriptomics; (2) integrating genome-wide association studies (GWASs) with single cell and bulk RNA-seq to understand disease etiology; and (3) performing large-scale quantitative trait association studies in underrepresented populations.
Our GENOA meQTL paper is accepted at Nature Communications! Will be online soon.
Our SRTsim paper is online at Genome Biology! Here is the link: SRTsim paper.
Our SpatialPCA paper is online at Nature Communications! Here is the link: https://www.nature.com/articles/s41467-022-34879-1.