Our work spans three research themes:
1) DNA metasystematics: We gather biodiversity data through the analysis of marker genes from bulk samples (water, soil, and sediments). We pioneered this technique for benthic macroinvertebrates, used widely as bioindicators of aquatic ecosystems.
2) Biodiversity transcriptomics: We develop comparative transcritpome-based approaches for non-model organisms to gain insights on evolution of transcriptomes and understand molecular responses at ecological scale.
3) Bioinformatic approaches for biodiversity genomics data: We develop and test taxonomic assignment approaches for many taxonomic groups and marker genes, and develop tools to enhance analysis of metabarcoding and biodiversity genomic data through machine-learning methods and refined analysis.