My main research interest is to understand the ecological and evolutionary principles that shape the composition, diversity, and functional dynamics of microbial communities across different ecosystems. To do this I combine ecological theory, evolutionary biology, and computational approaches to study processes across multiple biological scales, from individual microorganisms and their metabolic capabilities to symbiotic interactions and community-level dynamics.
I have experience working with multi-omic datasets from a wide range of systems, including aquatic, agricultural, and host-associated microbiomes. My expertise integrates genomics, metagenomics, and metabolic modeling, with a focus on functional and structural analyses of microbial communities, comparative and evolutionary genomics, and the computational prediction of virus–host interactions.
Currently, my research focuses on two main areas:
- The first applies high-resolution genomic and metagenomic tools to agricultural microbiomes for the detection and characterization of high-risk pathogens, while also improving our understanding of agroecosystem sustainability and resilience.
- The second explores microbial communities associated with cyanobacterial harmful algal blooms in freshwater systems, with a particular focus on cyanotoxin biosynthesis, regulation, and their impacts on water quality and ecosystem health.
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