Consensus tree and supertree inference methods synthesize collections of gene phylogenetic trees into comprehensive trees that preserve main topological features present in the input gene trees and include all taxa present in them.
Development of distance metrics for comparing phylogenetic trees defined on different but mutually overlapping sets of taxa, in the context of supertrees.
Developing innovative computational methods to advance the understanding of the human immune system.
The genetic and demographic phenomena, in particular the phenomena of speciation, which have led to the distribution and the current geographic structuring of populations, involving paleography, is particularly promising for making predictions on emerging viral pathogens.
Developing new tools is often necessary to address new questions. Our team develops statistical and mathematical approaches, implements them and releases them as open-source software to ensure reproducibility and reliability of analyses.