E. K. Molloy

Quartets enable statistically consistent estimation of cell lineage trees under an unbiased error and missingness model

The paper introduces a quartet-based method for estimating cell lineage trees from tumor data, showing it is statistically consistent even with errors and missingness.

Advancing admixture graph estimation via maximum likelihood network orientation

This paper introduces a new method to improve admixture graph estimation by addressing limitations in existing maximum likelihood heuristics.

FastMulRFS: Fast and accurate species tree estimation under generic gene duplication and loss models

FastMulRFS estimates species trees accurately and efficiently under gene duplication and loss models, outperforming existing methods in speed and accuracy.

Polynomial-Time Statistical Estimation of Species Trees under Gene Duplication and Loss

This paper shows that species trees can be statistically estimated under gene duplication and loss, and demonstrates the consistency of the ASTRAL-multi algorithm for this task.

Statistically consistent divide-and-conquer pipelines for phylogeny estimation using NJMerge

This paper introduces NJMerge, a divide-and-conquer method for phylogeny estimation that improves accuracy and reduces runtime compared to traditional methods.