I am a mathematician working at the intersection of Artificial Intelligence, probabilistic modeling, and environmental sustainability, with a particular focus on marine ecosystems. I completed my PhD in Mathematics at the University of Trento, where I developed Reinforcement Learning frameworks and simulation environments for autonomous systems applied to marine biodiversity monitoring and ecosystem assessment.
My research focuses on designing explainable and uncertainty-aware AI models to support decision-making in complex marine and environmental systems. Over the years, I have worked on Reinforcement Learning, graph-based modeling, and probabilistic representations of ecological dynamics, contributing to interdisciplinary projects spanning mathematics, marine ecology, and climate-related applications.
I believe that mathematically grounded AI can play a crucial role in transforming environmental data into actionable knowledge. My goal is to develop transparent and trustworthy methodologies that bridge rigorous theoretical research with real-world impact in climate and sustainability contexts.
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