My research explores the eco-evolutionary dynamics of chromosomal inversions, with a focus on their role in facilitating local adaptation. I use individual-based simulations to investigate how inversions interact with, e.g., genomic architecture and population structure to shape patterns of genetic variation and differentiation. My work aims to identify the conditions under which inversions evolve and spread, and how they contribute to adaptive divergence between populations. Ultimately, I will develop a ML classifier for identifying targets of selection within inversions, and apply it to genomic data from vinegar flies and threespine sticklebacks, with the goal of uncovering novel insights into the adaptive significance of inversions in natural populations.
