Lena Collienne

The paper presents a deep learning approach that uses phylogenetic dynamic program outputs to predict edges in maximum parsimony trees, achieving high accuracy on simulated and empirical datasets.

This paper introduces a method to estimate the mean in the space of ranked phylogenetic trees, demonstrating its effectiveness across real datasets.

The paper introduces an online Bayesian phylogenetic inference algorithm for BEAST 2 that allows efficient updates to analyses as data changes, without re-running from scratch.

This paper analyzes the geometry of the ranked nearest neighbour interchange graph for phylogenetic trees, finding exact radius and diameter values and comparing it to the classical NNI graph.