Francesco Regazzoni has been awarded a Starting Grant from FIS (the Italian Science Fund) for his proposal titled “SYNERGIZE: Synergizing Numerical Methods and Machine Learning for a new generation of computational models.”
The project SYNERGIZE has been awarded over €1.2 million in funding and will span three years, starting in spring 2025. The grant will support a dedicated team of PhD students, postdoctoral researchers, and early-career scientists. The proposal received the highest possible score from the review panel and was ranked first in the Mathematics category (PE1) for Starting Grants.
The SYNERGIZE project seeks to advance the emerging field of Scientific Machine Learning, in which Machine Learning techniques are harmonized with Scientific Computing methods to address pressing challenges in modeling natural, social, and industrial processes. The project focuses on the development of methods rooted in algorithms from the fields of Machine Learning and Artificial Intelligence, tailored to address the complexities of Scientific Computing problems and grounded in the principles of Numerical Analysis. The methods developed through SYNERGIZE are expected to offer approximations to solutions of differential problems extremely quickly, significantly reducing computational demands and minimizing environmental impact.
The Italian Science Fund (FIS) supports the advancement of fundamental research by funding innovative projects across various scientific fields. Modeled after the European Research Council (ERC) programme, FIS aims to foster projects that extend the boundaries of scientific knowledge.
