Anastasis Togkousidis

RAxML-NG 2.0 introduces new features for phylogenetic inference, including automatic model selection and faster branch support metrics, with significant speed improvements.

This paper investigates overfitting in ML phylogenetic inference using cross-validation and finds no significant overfitting in most tools.

This paper introduces early stopping criteria to accelerate maximum likelihood phylogenetic inference without sacrificing accuracy, achieving faster inference times on empirical and simulated datasets.

The paper introduces an adaptive tree search heuristic in RAxML-NG that adjusts search thoroughness based on dataset difficulty, achieving significant speedups while maintaining accuracy.