I am a computational biologist/bioinformatician with formal training in biostatistics. My research has been mainly focused on developing statistical methods and computational tools for analyzing and interpreting large-scale biological or clinical data, in particlar the high-throughput omics data.

At this moment, I spent most of my time on developing methods and tools for analyzing data from various types of second generation sequencing experiments, including:

  • RNA-seq: differential expression, power and sample size calculation, single cell RNA-seq.
  • ChIP-seq: peak calling, differential binding.
  • BS-seq: differential methylation.

On the application side, I’m very interested in epigenetic regulation of gene expressions and their associations with different types of diseases. I closely collaborate with basic scientists and clinicians to study different types of DNA/RNA methylation and histone modifications.