Armando Arredondo

This paper extends the non-stationary structured coalescent framework to models with changing parameters, showing that IICR curves can be misleading and highlighting the impact of deme changes on population genetic inferences.

The paper presents an algorithm to calculate the expected Site Frequency Spectrum (SFS) in structured populations, enabling demographic parameter inference in the symmetrical n-island model.

This paper investigates the demographic history of chimpanzees by integrating population structure into models, finding that spatial models improve predictions of genetic differentiation and IBD patterns.

This paper extends the IICR to larger sample sizes and identifies limitations of demographic inferential methods using simulations and real data.

The paper examines how genomic variations in effective population size due to linked selection affect coalescence time distributions and demographic inference.