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.
|My biosketch (last update Mar 25, 2011)|
|My CV (last update Sep 19, 2011)|
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|Recent research articles.|