Ziheng Yang

The paper introduces a new method to discretize Gamma rate distributions in phylogenetics, reducing branch length bias compared to the standard DGM.

The paper develops a Bayesian method to detect gene flow between sister lineages, showing it has low false-positive rates and high power, and applies it to Sceloporus lizards data.

This study examines how incomplete taxon sampling affects gene flow inference using genomic data and introduces a Bayesian method to assess gene flow models.

The paper introduces a hierarchical heuristic method for species delimitation under the multispecies coalescent model, showing improved performance over existing methods in simulated and empirical data.

This study investigates biases in inferring gene flow between species under misspecified models and finds that pulse introgression models are more robust to model misspecification than continuous migration models.

CNETML infers phylogenies from spatio-temporal copy number profiles of cancer samples, handling total copy numbers and temporal data to estimate mutation rates and tree topology.

This paper compares DNA barcoding and Bayesian inference for species identification, showing that Bayesian methods are more reliable for delimiting species.