Isabel Sanmartín

This paper introduces a deep learning method that integrates genomic and trait data to improve species delimitation in complex speciation scenarios.

This study investigates the biogeography and evolution of life-history traits in Euphorbia subgenus Esula, showing that perenniality and range expansion are linked to diversification.

This study compares Convolutional Neural Networks and Maximum Likelihood Estimation for classifying and estimating parameters in birth-death diversification models.

This paper introduces a spatially-explicit simulation model that integrates phylogenetic information to study the processes shaping biodiversity distribution patterns over time.

This study examines how ancient climate changes affected the evolution and extinction of plant lineages, finding that some adapted to cooler climates while others went extinct.