Technical field(s) of expertise: The goal of my research in quantitative aquatic ecology is to support management, conservation, and restoration of water systems. I use statistical approaches such as multiple regression and boosted regression trees to quantify the effects of environmental stressors on fish and invertebrate populations and communities. This work has focused on the highly diverse fish and mussel communities in rivers of the eastern United States. I also develop mid-complexity models, including metapopulation models, to consider spatial effects of stressors, for example, the response of fish across river systems to changes in temperature and flow. These models can guide decisions on where in the landscape to allow development, and where to conserve or restore habitat. For complex questions such as bioaccumulation in lake foodwebs and effects of eutrophication-related hypoxia on estuary biota, I apply ecosystem models; I also work in teams to link models for land, water, and ecology into integrated modeling systems. We evaluate the effects of landscape and climate scenarios on these systems and the ecosystem services they provide. Overall, I strive to provide a quantitative understanding of aquatic ecosystems as the scientific basis for more effective environmental management for watersheds, states, and regions. Due to my expertise, I was involved as an expert in the IPBES assessment of scenarios and models of biodiversity and ecosystem services.