The advance of high-throughput technologies such as microarray and next generation sequencing offers a great opportunity to study biological systems from an unprecedented genome-wide approach. Our research focus on the design of statistical and computational tools to discover genetic or epigenetic causes of cancer and cardiovascular diseases. In particular, we are interested in the discovery of various pathogenesis-related variations, such as single nucleotide polymorphisms (SNPs), copy number variations (CNVs), insertions/deletions, and methylation. We are also interested in the modeling/simulation of biological pathways, and investigating the effects of genetic heterogeneity to disease phenotypes. Ultimately, the goal is to develop novel computational tools and to identify potential therapeutic targets for drug discovery.