Biography

I build AI systems that tackle real-world problems—from climate change to digital content creation. At Politecnico di Milano and EIEE, I work on foundation models for climate and economics, generative models for uncertainty quantification, and neural emulators for climate-economic systems as part of the EUNICE ERC project. My research spans AI-driven methods for sustainability, climate, and biodiversity—from neural PDEs to geospatial embeddings.

My background is in neural fields, generative models, and neural rendering. During my PhD in Computer Science at URJC and as ML engineer at SEDDI, I developed methods for material capture and texture synthesis that now power Textura.ai. My thesis received the FBBVA/SCIE Young Researcher Award and CEIG Best PhD Thesis. I also hold an MSc in AI from Edinburgh and dual BSc degrees in Computer Science and Business Administration from UC3M.

Interested in collaborations? Drop me an email.