From geochemical cycles to human health, microbiomes play key roles in ecosystems. By sampling genomic DNA information directly from the environment - coined as metagenomics - we are able to study the composition, diversity and functions of the micro-organisms in their biome.

I am interested in developing data science methods to unveil information from microbiomes through the lens of DNA information. More specifically, I am currently working on the following topics:

General interests


  • Abundance sequences classification
  • Metagenomics and viral metagenomics
  • Metagenome-wide association studies
  • Protein structure classification

Computer science:

  • Supervised and unsupervised classification


  • (Viral) metagenomics sequence annotations
  • Binning
  • Human gut MWAS
  • Gene calling for metagenomics
  • High throughput remote homology detection


See my Scholar page.