I am an Italian machine-learning scientist working at the intersection of Earth system science, weather and climate modelling, data assimilation, and artificial intelligence. My research combines scientific modelling, large-scale environmental data processing, and machine learning for applications in weather forecasting, climate science, and ocean modelling.

I hold a PhD in Future Earth, Climate Change and Societal Challenges from the University of Bologna, carried out in collaboration with the Euro-Mediterranean Centre on Climate Change (CMCC). My doctoral research focused on data assimilation for advanced cross-scale unstructured-grid ocean modelling.

More recently, as a SMASH Marie Skłodowska-Curie COFUND postdoctoral researcher at the University of Ljubljana, I developed a neural-network-based observation operator for assimilating weather-radar observations into a 3DVar framework. My work covered the full research workflow, from processing TB-scale datasets and training neural networks with PyTorch and GPUs to validation, data-assimilation integration, and publication of open-source software and datasets. You can read more about this work here.

I have also worked on ocean data assimilation at CMCC and on regional climate modelling at ICTP, where I studied the effects of urbanisation on the West African monsoon. My technical work focuses mainly on Python, PyTorch, scientific data processing, Linux/HPC environments, and reproducible workflows for large weather, climate, satellite, and numerical-model datasets.

Alongside research, I am interested in scientific communication and education, particularly in making topics such as climate change, data assimilation, and deterministic chaos accessible to students and wider audiences.

Read my complete Curriculum Vitae or download it .

For questions or collaboration opportunities, feel free to contact me at stfmrc.dev@gmail.com .