B. Liebeskind

Deep learning and likelihood approaches for viral phylogeography converge on the same answers whether the inference model is right or wrong

This paper compares deep learning and likelihood methods for viral phylogeography, finding they produce similar results and robustness to model errors, with deep learning being significantly faster.

Ancestral Reconstruction of Protein Interaction Networks

The paper infers ancestral states and evolutionary dynamics of protein-interaction networks using phylogenetic latent variable models and mass spectrometry data.