I am an Assistant Professor in the Department of Genetics,
Department of Biostatistics, University of North Carolina, Chapel Hill.
My research interest is in statistical genetics. My current research focuses on the development and application of
computational and statistical tools for the understanding human genetic variation, with a particular focus on
complex human diseases and traits.
I have developed and implemented a hidden Markov model based method for genotype imputation.
My most recent research areas are in
(1) SNP and genotype calling from next generation sequencing data; (2) the design of sequencing-based genetic studies;
(3) imputation in admixed populations and with larger reference panels; (4) the analysis of rare variants;
(5) joint SNP and CNV calling from next generation data.
I have partipated in several applied projects including FUSION study of type 2 diabetes,
GAIN psoriasis study, Michigan age-related macular degeneration study,
and meta-analysis of plasma lipoprotein concentrations.
I am a project leader in the analysis group of
the 1000 Genomes project, particularly that I have lead efforts to (1) extend genetic imputation methods to shotgun
sequence data and (2) map/align short sequence reads back to the reference genome.