We use genomic tools to detect organisms and life stages that are not observable through traditional sampling and to predict when invasions are likely to occur. By linking genetic signals to environmental conditions, we identify transitions into reproductive and dispersal phases, including the “invisible” stages that drive invasion. This work enables earlier detection and anticipation of invasive species dynamics, with direct application to systems such as combating the invasive Caulerpa prolifera in California.

We explore a framework that uses generations to connect ecological and evolutionary timescales. By examining how overlapping versus sequential generations influence connectivity, we test how life history shapes population structure and persistence. This work provides a basis for linking short-term ecological dynamics to long-term evolutionary outcomes.

We integrate population genetics with spatial ecology to understand how organisms move and connect across marine systems. By linking ecological connectivity with evolutionary connectivity, we examine how dispersal, behavior, and life history shape population structure. This work establishes how movement across space translates into genetic and ecological patterns.