Michael Schwob wins 2025-2026 Invasive Species Collaborative Faculty Seed Funding Grant (as a Co-PI with Prof. Esra Buyuktahtakin Toy).

Invasive species cause significant ecological and economic damage, yet managers lack predictive tools that directly connect patterns of spread to effective containment strategies. The field of landscape genomics (LG) provides a principled approach to infer gene flow and migration by connecting genetic dissimilarity between individuals with environmental features. However, existing LG frameworks stop short of translating gene flow inference into actionable management decisions. Meanwhile, operations research (OR) offers robust management tools for resource allocation under uncertainty but rarely integrates mechanistic insights from LG. We propose to develop a unified landscape genomics and containment-resource allocation framework that connects these two domains.