I hold a BSc in Mechanical Engineering (2017) and an MSc in Nanotechnologies Engineering (2020) from Sapienza University of Rome. Subsequently, I also completed a PhD in Theoretical and Applied Mechanics at the same institution (2024). My doctoral research mainly focused on the application of machine learning techniques to molecular simulations of metal nanoclusters. In particular, my thesis explored the use of autoencoder neural network architectures for the structural classification of nanoclusters, as well as the implementation of enhanced sampling simulation techniques to investigate structural transitions of gold nanoclusters.
Since November 2024, I have been a postdoctoral researcher at UB where I am currently studying the oxidation of metal nanoparticles. My work focuses on combining structural sampling techniques and machine learning tools for structural classification, to get reliable phase diagrams of oxidized metal nanoparticles via machine learning interatomic potentials.

Finished thesis: 2024
Current group: