Torsten Hauffe

The paper shows that estimating species age from phylogenetic trees is error-prone due to sampling biases and speciation assumptions, and proposes a probabilistic model to improve accuracy.

This study benchmarks imputation methods for discrete biological traits using a pipeline combining phylogenetic, machine learning, and deep learning approaches, finding an ensemble method to be most accurate.