Advancing Biodiversity Science
Cutting-edge research in computational biology, molecular ecology, and conservation genomics
Our Research Focus
Advancing scientific knowledge through innovative computational and molecular approaches to biodiversity conservation in northeastern Brazil.
Computational Biology
Developing cutting-edge algorithms and bioinformatics pipelines for analyzing complex biological datasets and predicting biodiversity patterns.
Learn MoreMolecular Ecology
Investigating genetic diversity and evolutionary processes in threatened species to inform evidence-based conservation strategies.
Learn MoreClimate Change
Modeling species distributions and ecosystem responses to climate change using machine learning and ecological niche modeling.
Learn MoreFeatured Research
Machine Learning for Biodiversity Conservation
Our latest research published in Ecological Informatics presents novel machine learning approaches for predicting species distribution patterns under climate change scenarios. This work combines advanced computational methods with ecological data to inform conservation planning in the Caatinga biome.
Read MoreGenomic Insights into Drought Adaptation
Published in Nature Plants, our comparative genomics study reveals the molecular mechanisms underlying drought tolerance in Caatinga flora. These findings have important implications for understanding plant adaptation to arid environments and developing climate-resilient crops.
Read More