My PhD research was completed under the supervision of Terry Speed in the Statistics Department at UC Berkeley.  My thesis focused on the analysis of high-throughput genomics data, with a particular emphasis on the then-emerging high-throughput DNA sequencing data.  Additional projects included applied work in statistical genetics.

For my postdoc, I extended my work in statistical genetics to include methods development for analysis of imputed data in large trio datasets and methods for reducing test multiplicity in case-control settings by leveraging marker correlation structure.

I have also continued my work on high-throughput sequencing to include an investigation of biases in variant detection due to technical artifacts and have worked collaboratively on investigating optimal analysis methods for deep targeted resequencing data.

Expanding into the field of epigenetics, I have worked on analysis methods for the new high-throughput methylation array from Illumina.

Research Interests