Research Interests

My research focuses on understanding complex human diseases by undertaking integrative approaches, which combine biology, computational and statistical learning, bioinformatics, and genomics. In particular, I am interested in developing computational algorithms, software and tools

  1. to help identify genetic and regulatory mechanisms underlying human diseases, so that we can better understand why different genetic and gene expression changes in patients can lead to different disease phenotypes;
  2. to identify biomarkers, and classify and diagnose various human diseases using metadata (e.g., genetic, gene expression and phenotypic data); and
  3. to predict outcomes of patients with human diseases using metadata.

My current work involves:

  1. subphenotyping asthma patients using computational approaches, and
  2. understanding breast cancer mechanisms using dynamic network learning approaches.