Luiz Max Carvalho

This paper investigates the challenges of Bayesian phylodynamic inference due to rugged tree landscapes and proposes diagnostics and strategies to improve analysis reliability.

This study models latency in Ebola virus using a novel phylogenetic approach, finding evidence of extended quiescence in the reservoir, which changes understanding of its evolutionary history and geographic spread.

The paper introduces HIPSTR, a new consensus tree method that outperforms MCC in capturing high-support clades, and presents an updated TreeAnnotator X with faster computational routines.

This paper describes good practices for validating Bayesian models in computational biology and introduces tools to automate validation protocols.

This study analyzes 1600 Ebola virus genomes to show viral spread followed a gravity model, with cross-border transmission before border closures contributing to an international epidemic.