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Lyydia  Meuronen

Lyydia Meuronen

Doctoral Researcher

Department of Technical Physics, Faculty of Science, Forestry and Technology

I’m working as a first year’s doctoral researcher at the Computational Physics and Inverse Problems research group at the UEF. In my thesis I’m working 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 contains elevated level of heavy metals and at atmospheric conditions chemically reactive minerals. Current models for leaching are computationally expensive which is why we are intending 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).