Raphaël Leblois

The paper assesses genetic diversity and population structure in Geoffroy's bats using microsatellites and mitochondrial markers, finding high nuclear diversity and female philopatry.

The paper introduces an iterative framework for population genetic inference using simulation and machine learning, showing improved confidence interval coverage compared to existing methods.

The paper re-analyzes genome data from sympatric and allopatric populations of pine processionary moths to study allochronic divergence, finding recent population splits, reduced gene flow, and loci linked to circadian genes.

This study evaluates adaptive introgression classification methods using simulated datasets from different evolutionary scenarios, finding that Q95-based methods are most efficient for exploratory analysis.

This study uses genomic data from a Southern African rodent to show how aridity influences genetic divergence and population connectivity, with genes related to water conservation and neurotransmission identified.

The paper uses RADseq on a contact zone to show strong reproductive isolation between two lineages of Acanthodactylus erythrurus, supporting species-level divergence.

The paper develops likelihood methods for inferring migration rates and demographic changes using coalescent models and sequential importance sampling techniques.