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About Us

We are a team dedicated to finding scientific and technological solutions to mitigate the effects of wildfires.

Our solutions involve the development of novel methodologies through the integration of various mathematical and technological tools. These tools include machine learning for fire ignition modeling, spatially explicit wildfire simulators, fire risk metrics, species distribution models, stochastic and multiobjective optimization, and simulation-based optimization.

The goal of our tools is to demonstrate that appropriate forest fuel management can effectively create fire-resilient landscapes while minimizing potential carbon emissions, protecting wildlife biodiversity, and ensuring the safety of human communities.

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