I am a computational biologist specialised in statistical genomics, particularly in Bayesian phylogenetics and phylogenomics. I am also interested in chemometrics, transcriptomics, and population genomics.
I have a PhD in Agricultural and Environmental Biology from the University of Tokyo (Japan), developing statistical models for recombination detection and phylogenetic dating. During my PhD I also worked with QTL analysis and protein structure prediction. I then did postdoctoral training at the University of Vigo (Spain), at the University of Lausanne (Switzerland), and at Imperial College London (UK). During this time I created models for species tree inference, phylogenomic statistical learning, and hyperspectral imaging analysis. I have studied the evolutionary history of several groups, from viruses, malaria, and marine species, to deep phylogenies like the tree of Eukaryotes or the whole tree of life.
Currently I develop and apply phylogenomic pipelines to large pangenomic data sets, aiming at facilitating interpretation and integration with other analyses.
- L. de Oliveira Martins, D. Mallo, D. Posada (2016). “A Bayesian Supertree Model for Genome-Wide Species Tree Reconstruction”. Systematic Biology 65(3), 397-416 doi:10.1093/sysbio/syu082
- D. Mallo, L. de Oliveira Martins, D. Posada (2016). “SimPhy: Phylogenomic Simulation of Gene, Locus and Species Trees”. Systematic Biology 65(2), 334-344 doi:10.1093/sysbio/syv082
- L. de Oliveira Martins, D. Posada (2014). “Testing for Universal Common Ancestry”. Systematic Biology 63(5), 838-842 doi:10.1093/sysbio/syu041
- L. de Oliveira Martins, D. Mallo, D. Posada (2013). “Phylogenetic Likelihood”. eLS. a0005141 doi:10.1002/9780470015902.a0005141
- L de Oliveira Martins, H. Kishino (2010). “Distribution of distances between topologies and its effect ondetection of phylogenetic recombination”. Annals of the Institute of Statistical Mathematics 62 (1), 145-159 doi:10.1007/s10463-009-0259-8