Lyydia Meuronen

I’m working as a doctoral researcher at the Computational Physics and Inverse Problems research group at the UEF. In my thesis, I work with machine learning-based surrogate modeling for risk assessment and water quality prediction at mining sites. Waste rocks at the mining sites cause an environmental problem as leaching releases acid and harmful substances from the rocks which contain elevated levels of heavy metals and at atmospheric conditions chemically reactive minerals. Current reactive transport models (RTMs) for leaching are computationally expensive, so we intend to replace those models with computationally cheaper models while utilizing machine learning.

In my thesis work, I’m using models and measurements related to my study provided by my collaborator Geological Survey of Finland (GTK).