Yun Kai Deng

The paper introduces coalescent-based time-stratified statistics to accurately infer population structure dynamics using Ancestral Recombination Graphs.

This paper introduces POLEGON, a method for estimating branch lengths in Ancestral Recombination Graphs using uninformative priors, showing improved coalescence time estimates and population size inferences.

This study evaluates how well four ARG inference tools perform with phasing errors, finding they remain robust despite inaccuracies in haplotype phasing.

The paper challenges a previously reported 900 kya bottleneck in African ancestry, arguing it is a statistical artifact rather than a true demographic event.

SINGER improves ARG reconstruction accuracy and uncertainty quantification for large genomic samples by enabling efficient posterior sampling.

This study benchmarks three ARG inference methods for estimating coalescence times using simulations, finding ARGweaver most accurate but less scalable than Relate and tsinfer+tsdate.