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:
- Abundance sequences classification
- Metagenomics and viral metagenomics
- Metagenome-wide association studies
- Protein structure classification
- Supervised and unsupervised classification
- (Viral) metagenomics sequence annotations
- Human gut MWAS
- Gene calling for metagenomics
- High throughput remote homology detection
See my Scholar page.