Luca Ferrari

Research area

I am a PhD student in Environmental Science and Forest Resources Management at ETH Zürich. I received an MSc in Environmental Engineering from Politecnico di Milano, specializing in environmental systems modeling and decision-making under deep uncertainty. My research interests lie in applying mathematical modeling and deep learning techniques for upscaling and forecasting climate change and drought-related forest mortality in Swiss forests in the context of the UPSCALE project. Previously, I worked on applying deep learning for simulation and forecasting of air quality and on robustness analysis of optimal climate policies developed by the Integrated Assessment Model RICE50+ for climate decision support in a multi-objective and deeply uncertain context.

Projects

• 2024–2028 UPSCALE: Nowcasting, forecasting, upscaling - Novel avenues for forest vitality monitoring and anticipating forest dynamics. Role: PhD student.
• 2023 Innocheque: New Insurance Solutions for Planted Forests. Role: scientific assistant
• 2022–2023 AgriAir: Data science to reduce agri-food impact on air quality in the Po Valley. Role: research assistant.
• 2021-2022 Multi-Objective Climate Policy Design. Role: master student/research assistant.

Publications

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