John Dony (Supervisor: Nandita Basu) is a MASc studying nutrient water quality in the Laurentian Great Lakes drainage basin from a data driven perspective. He applies a machine learning framework to assess drivers of nutrient water quality in Great Lakes watersheds. The objective of this analysis is to improve our understanding of the behaviour and responses of Great Lakes watersheds to anthropogenic landscapes.
“I believe it is important to support our process understanding of nutrient dynamics with statistical models and analysis.”
To move towards more targeted nutrient management, we must acknowledge and better characterize the heterogeneity of responses and behaviours of Great Lakes watersheds to nutrient inputs.
He is an Environmental Engineering graduate from the University of Guelph. He enjoys outdoor recreational activities such as canoeing, camping and fishing.