Most of our work is focused on flowering plants; however, research with other organisms is also welcome. Projects in the lab range from detailed evolutionary studies at the species level to broader comparative studies of large clades. To carry out our research, we use data, tools and approaches from different areas. The main motivation of our research is Natural History, so we always try to do field work to learn about the biology of the organisms we study and collect specimens for further study. We supplement our collections with Herbarium/Museum specimens to study spatial patterns of eco-phenotypic variation at different geographic scales. In the laboratory, we generate genetic and genomic data to study patterns of variation at the molecular level. Finally, we use and develop computational and statistical methods to analyze data in a comparative, quantitative framework. We aim to integrate all these approaches in our research, however some projects may emphasize one (or a few) approach more than the others. Thus, projects may involve data generation (e.g., field collections, phenotypic and ecological measurements, DNA/RNA sequencing), use publicly available data, and/or rely on computer simulations. In the future, we look forward to incorporating experimental approaches in our research.
Broad research areas that we are interested include: systematic biology, plant biology, phylogenetics, quantitative taxonomy, macroevolution, bio- and phylogeography, computational biology, evolutionary comparative genomics, adaptation, speciation, and tropical biology.
Current projects in the lab deal with questions emerging from:
Biosystematic studies on species discovery and species delimitation using multiple lines of evidence
Inference of the evolutionary history of different clades using genomic-level data
Inference of the evolutionary history of genes and phenotypes
Development of statistical methods to infer species boundaries, mainly using phenotypic and spatial data
Development of computational tools for phylogenomics and evolutionary comparative genomics