Rampal S. Etienne

This paper introduces an expanded urine culturing workflow to recover diverse urobiome isolates from postmenopausal women, enabling better characterization of previously underrepresented taxa.

This paper proposes an alternative method to compute the likelihood for the DAISIE model, improving computational efficiency and enabling state-dependent dynamics in island biodiversity studies.

This study shows that speciation history influences sympatric species richness in birds, with older clades having higher richness due to longer time for species to accumulate in sympatry.

This study shows that environmental and demographic variation additively reduce the repeatability of evolution in replicated experiments with Caenorhabditis elegans.

This study quantifies sociability in Drosophila melanogaster using three paradigms and finds that sociability is multidimensional with uncorrelated traits.

This paper evaluates how neural networks can infer diversification mechanisms from phylogenies under evolutionary relatedness dependence, finding moderate classification accuracy and parameter identifiability issues.

The paper uses an eco-evolutionary model to show the Janzen-Connell effect can explain macroecological and macroevolutionary patterns by incorporating phylogenetic relatedness and spatial dynamics.

The paper performs a comparative genomic analysis of Azospirillum genomes to identify a species complex and validate its biosafety and plant growth-promoting potential.

The paper investigates factors driving uneven angiosperm diversity in the Canary Islands, finding trait-dependent diversification and spatio-ecological limits are key, not lineage age.

This paper introduces a neural network ensemble method for estimating diversification parameters from phylogenetic trees, showing improved performance and robustness compared to maximum likelihood estimation.

The paper introduces an R package to compute and analyze phylogenetic tree summary statistics, finding that many statistics are correlated with tree size and balance, and advocating for using multiple statistics to capture diverse information.

The paper estimates genome mutation rates in baleen whales using pedigrees, finding rates similar to primates and revising population size estimates and cancer rate explanations.

The paper introduces babette, an R package that streamlines BEAST2 workflow by creating input files, running BEAST2, and parsing results through R function calls.

The paper develops a model to infer speciation rates driven by habitat dynamics using phylogenetic trees, applied to Lake Tanganyika cichlids, finding water level changes significantly influence diversity.

The paper examines how environmental factors influence cichlid community assembly in Lake Tanganyika, finding that stochastic processes dominate over deterministic ones.