Vladimir Shchur

DAIseg is a new HMM-based method that detects both Neanderthal and Denisovan introgression in modern human genomes without archaic references, outperforming existing methods in Papuan populations.

The paper develops a method to estimate multiple admixture events using 3-locus linkage disequilibrium, demonstrating its accuracy on simulated data and applying it to Colombian and Mexican populations.

This study uses genomic data to analyze the recent population history of the Mapuche, finding shared ancestry with Southern Patagonia and Central Chile populations, a population bottleneck around 1650 AD, and post-admixture adaptation in Chileans.

This study investigates how positive selection affects the distribution of genomic admixture tract lengths and shows that selection can increase tract lengths on average but decrease them conditional on allele frequency.

The paper introduces a method for fast and scalable inference of local tree topologies from large haplotype datasets using a modified PBWT data structure, with potential applications for ARG node time estimation.