Paul Verdu

Attentive-SPIDNA uses attention mechanisms to infer population size history from genomic data, outperforming existing methods and handling varying haplotype numbers.

This study reconstructs the complex admixture history of Sao Tome's population, revealing nested admixture events and shared ancestries between African and European groups.

This study uses whole-genome sequencing and machine learning to reconstruct demographic history and gene-flow patterns among African populations, finding that tree-like histories with gene-flow pulses better explain genetic diversity than continuous gene-flow.

This study analyzes genetic and linguistic data from Cabo Verde to trace admixture histories, finding early European-African mixing predating the Trans-Atlantic Slave Trade and ongoing effects of socio-cultural dynamics.

The paper develops a method to infer historical linguistic transmission using within-population linguistic diversity and demographic models.

This paper develops an ABC framework to reconstruct complex admixture histories using simulated genetic data and applies it to African American and Barbadian populations.

The paper identifies genetic associations with body size traits in Central African Pygmies and non-Pygmies using SNP data from a modest sample size.