Our research interests are in the areas of bioinformatics and computational biology, statistical genomics, personal genomics and functional genomics, with a particular emphasis on the design and application of efficient combinatorial and statistical algorithms to challenging biological problems, and on the development of user-friendly software tools.

One major area of research is development of computational solutions for the analysis of human genomic variations, which includes:
  • Haplotype inference based on family data
  • Disease association mapping
  • Structure variation and copy number variation detection
  • Rare variants identification using pooled samples

Another area of research is in integration of omics data, which includes
  • Disease gene ranking using multiple data sources
  • Network-based drug target prediction and drug repositioning
  • Integration of methylation and expression¬†