Nanotechnology Engineer graduated with 110/110 cum Laude from Sapienza University of Rome , with a solid background in computational physics and atomistic simulations. The Master's Thesis, titled "Detection of protein primary structure via quantum tunneling: thermal fluctuation analysis and ab-initio ML protocol for Pro-Ser model sequencing", highlights advanced competencies in DFT, NEGF, Molecular Dynamics, Machine Learning (ML) , and the use of scientific tools such as SIESTA, TranSIESTA, LAMMPS , and Python environments (ASE, sisl).
Academic activity has included the role of Tutor for the Master's course "Principles of quantum mechanics with elements of structure of matter and atomistic simulations" at Sapienza University of Rome, actively supporting teaching and research in the field of nanotechnologies and quantum devices. These multidisciplinary skills are enriched by a decade of professional experience (2014–today) as a freelancer in web development (frontend and backend), UX/UI design , and in Artificial Intelligence (AI) applications , including the training of local LLM models.