I specialize in Scientific Machine Learning, Computational Fluid Dynamics, Deep Learning and High-Performance Computing.
I am experienced in developing data-driven and physics-based computational models across both research and production environments, spanning CFD surrogate modeling and quantitative financial systems.
Currently, I am a Fintech Analyst at Modefinance (TeamSystem), focused on quantitative modeling and workflow automation. I develop, test and deploy Python models for automated financial analyses and credit risk assessment, supporting scalable and data-driven client decision processes.
My work spans the full product lifecycle, from model development and maintenance to data validation pipelines and the design of API-ready components for integration with external client systems. I also develop interactive frontend interfaces for client-facing platforms and produce technical documentation for both internal and external use.
- M.Sc. in Scientific and Data-Intensive Computing at Università degli Studi di Trieste & SISSA
- B.Sc. in Physics at Università degli Studi di Trieste
OpenFOAM • MPI • OpenMP • PyTorch • NumPy • SciPy