Ajai Kumar Pathak

This study uses neural networks to analyze genetic data from Papua New Guinean populations, finding a bottleneck and slower growth rate rather than admixture with an early out of Africa population.

The paper analyzes whole exome sequencing data from individuals with severe mental illness to identify genes under positive selection and their biological functions.

This study identifies high genetic heterogeneity in the Kuwaiti population by analyzing genome-wide SNP data from 583 individuals, revealing distinct subgroups with different ancestral origins.

The paper estimates admixture dates and identifies source populations for genetic components in Indian Austroasiatic speakers using genome-wide data.