I received my Ph.D. degree in Smart Computing from the University of Florence in 2022, with a thesis titled “Graph Neural Networks for Molecular Data”, where I mainly worked on Graph Neural Networks and their applications to bioinformatics. I obtained my Master’s Degree with Honors in Computer and Automation Engineering from the University of Siena, with a thesis on “Glycine-induced formation and druggability evaluation of protein surface pockets: A machine learning approach”. Currently, I am a Post Doctoral Student/Researcher in Artificial Intelligence at the University of Pisa. The main topic of my research is Deep Learning on Structured Data, with a focus on Graph Generation and its applications in Bioinformatics.
Pietro on this site
- [Nov 9th 2022] LabMeeting: Drug Side Effect Prediction with Deep Learning Molecular Embedding in a Graph of Graphs Domain
- [Mar 9th 2022] LabMeeting: Modular multi-source prediction of drug side-effects with DruGNN
- [Jun 23th 2021] LabMeeting: CaregiverMatcher, graph neural networks for connecting caregivers of rare disease patients
- [Jan 21th 2021] LabMeeting: Improved protein structure prediction using potentials from deep learning
- [Sep 2nd 2020] LabMeeting: Molecular graph generation with Graph Neural Networks
- [Apr 22nd 2020] LabMeeting: A possible strategy to fight COVID-19:Interfering with spike glycoprotein trimerization.
Niccolò Pancino
Kamyar Zeinalipour
Filippo Costanti
Simone Bonechi
Paolo Andreini