Marco Barezzi earned a Master's degree in Computer Engineering from the University of Parma in 2025.
He is currently a PhD student at IMPLab, University of Parma. His research focuses on deep learning and generative models, with particular interest in 3D shape generation.
His research interests also include the application of active learning and transfer learning to sustainable chemistry, particularly focusing on transferring knowledge from solution-based chemistry to mechanochemistry to improve the efficiency and sustainability of chemical processes.
Publications
Marco Barezzi's publications
| Title | Authors | Published in | Year | Links |
|---|---|---|---|---|
| Machine learning-assisted development of a fast Mechanochemical Johnson–Corey–Chaykovsky reaction | F. Mele, A. Constantin, M. Barezzi, L. Rossi, A. Ergasti, T. Fontanini, S. Civardi, R. Sundermann, P. Mazzeo, R. Maggi, N. Della Ca', A. Prati, and L. Capaldo | NATURE COMMUNICATIONS | 2026 |
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