Her research involves modelling the hydrology and water quality dynamics of Lake Erie in order to understand how climate change and nutrient time-lags will impact the lake’s future state.
Meghan is particularly interested in quantitatively understanding the uncertainty and strengths of different computational models. She aims to couple high-performing models in order to simulate nitrogen and flow dynamics across the Lake Erie basin.