From geochemical cycles to human health, the microbiome play key roles in their ecosystems. Sampling directly from the environment the DNA information contained in their genome - coined as metagenomics - allows to study the composition, diversity and functions of the organisms in microbiomes.
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.