Nikunj Goel

The paper develops a method to identify adaptive variation in spatially structured populations using low-coverage whole-genome sequencing data, showing reduced false negatives by accounting for genotype uncertainty and structured migration.

The paper assesses adaptive capacity in an alpine species complex using genomics and ecology to identify climate vulnerability across taxonomic scales.

The paper develops a hierarchical Bayesian model to identify local adaptation by accounting for observational uncertainty and evolutionary processes, finding 30 genes associated with temperature seasonality in Willow Flycatchers.

The paper develops a Bayesian statistical method to infer invasion characteristics of human-dispersed species by integrating life-history dynamics and transportation network data.

The paper introduces a quantitative genetics model to measure spatial sorting strength, finding it comparable to natural selection gradients in a soapberry bug recolonization study.