Amy Goldberg

This paper shows that rare variation in malaria parasites causes biases in population-genetic statistics, revealing selection signals previously masked by these biases.

This study improves allele frequency and ancestry proportion estimation by adjusting genotype likelihoods to reduce mapping bias in ancient DNA sequencing.

This paper uses genomic simulations to show that multiple mate-choice models can produce similar ancestry correlations in spouses, highlighting challenges in interpreting such data.

The paper develops a deep learning object detection method to identify post-admixture adaptive variants by analyzing ancestry-painted genomes, achieving more precise localization than existing methods.

The paper uses coalescent theory to analyze migration network motifs and their impact on genetic diversity and differentiation in small population networks.

The paper responds to criticism of male-biased admixture estimates from Bronze Age migrations by analyzing X-chromosomal and autosomal ancestry in ancient samples.