Camila Duitama González

This study shows that determining if a population is measurably evolving or has reached the phylodynamic threshold depends on model assumptions and sampling strategies, not just data, and emphasizes prior sensitivity over tests of temporal signal.

DIANA predicts metadata categories from ancient metagenomics data, achieving high accuracy in host, community type, and material classification.

The paper benchmarks BEAGLE integration in BEAST X to determine optimal parameters for different hardware configurations using Dengue Virus data and simulations.

decOM improves microbial source tracking in ancient oral metagenomes by using k-mer matrices, outperforming existing methods in accuracy.