Chris C. R. Smith

Accessible, realistic genome simulation with selection using stdpopsim

The paper extends the stdpopsim simulation framework to include realistic selection models, enabling studies of selection's impact on genetic variation across species.

Population genetics meets ecology: a guide to individual-based simulations in continuous landscapes

This paper provides a guide to implementing individual-based simulations in continuous landscapes, focusing on population dynamics and ecological applications.

Estimation of spatial demographic maps from polymorphism data using a neural network

This paper introduces a neural network method to estimate spatial demographic maps from SNP data, showing it can infer population density and dispersal rates across landscapes.

disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data

disperseNN2 estimates dispersal distance from georeferenced polymorphism data, outperforming existing methods by 33-48% in error reduction.

Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations

The paper expands the stdpopsim species catalog and improves genome simulations by adding non-crossover recombination and species-specific annotations, making simulations more realistic for non-model organisms.