Integrating AI in aquatic ecosystem models to decode ecological complexity

Lakes are precious ecosystems which are threatened by land use and climate change. Reliable simulations are paramount for management, but current models underperform. This project aims to use machine learning to explore ecosystem processes, and to develop hybrid models that integrate deep learning into process-based modeling. This will provide improved projections for water quality challenges like algae blooms. The grant will fund one PhD student and one postdoc.