Lake Modeling and Freshwater Ecology
To confront global water resource challenges, we need optimal process-based and data-driven models that capture our ecological knowledge and are informed by big data.
Using computers and theory to understand and preserve our freshwater ecosystems
Global change and climate change are stressing our precious freshwater resources. To confront these challenges, aquatic ecosystem models are commonly used to simulate heat transport, water quality dynamics and ecological processes in aquatic ecosystems. My research focuses on three main aspects: (i) understanding changes and shifts in lake phenology, (ii) developing and applying aquatic ecosystem models to explore ecosystem processes, and (iii) using knowledge-guided machine learning for improved and sound projections of aquatic ecosystem dynamics.
My research is founded on the belief that aquatic ecosystem models are important tools for teaching physical as well as ecological in-lake processes, are crucial to check hypotheses obtained by field data and should be made accessible to every limnologist, the stakeholders as well as the public.
