We study the genetic basis of human diseases using computational approaches and translate this knowledge to improve patient care. With a special emphasis on incorporating functional information, evolutionary history and population structure in biomarker discovery, our research goes beyond statistical associations to seek genetic markers with strong functional impact.
AREAS OF RESEARCH INTEREST

  • Develop and apply computational methods to enable precision medicine
    • Biomarker discovery
    • Cancer subclonal development
    • Personalized immunotherapy
  • Discover functional elements in human genomes and the indications in diseases
    • Fine-map causal noncoding variants
    • Gene-environment interaction in complex diseases
    • Regulatory rewiring via epigenetic evolution
  • Data analytics for biomedical applications
    • Statistical support to biomedical research
    • Software, databases and analytical pipelines to facilitate “omics” studies