I am a Marie Skłodowska-Curie doctoral fellow in the IN-DEEP Doctoral Network, pursuing a PhD in Computational Mathematics, Learning, and Data Science at the Università di Pavia. 

My academic interests lie at the intersection of Numerical Methods for PDEs, Numerical Linear Algebra and Scientific Machine Learning. My current research focuses on developing efficient and mathematically certified deep learning methods for PDEs, with specific applications to inverse problems in computational oncology. Additionally, I am interested in low-rank methods for PDEs.

I hold an MSc in Computational Science and Engineering from EPFL, Switzerland, and a BSc in Mathematics from the University of Pisa. Additionally, I completed an internship at the Alfa Romeo ORLEN F1 Team, where I contributed to the development of an AI agent for optimizing race strategy in F1 Grand Prixs.