Curriculum Vitae

Research and development of self-adaptive convolutional neural networks. Jointly funded by the University of Pisa and NEC Laboratories Europe GmbH.

Researcher in the FAIR—Future Artificial Intelligence Research project (PE00000013), scientific sector INFO-01/A.

Deep learning and autoencoders for vaccine candidate identification. Jointly funded by the University of Pisa and GSK Vaccines s.r.l.

Analysis of clonal evolution data using machine learning.

Competition Sector 09/H1: Information Processing Systems.

Competition Sector 01/B1: Computer Science.

Thesis: “Deep Learning on Graphs with Applications to the Life Sciences”
Advisors: Prof. Davide Bacciu and Prof. Alessio Micheli
Recipient of an MIUR doctoral scholarship.

Thesis: “Predicting mortality in low birth weight infants: a Machine Learning perspective”
Advisors: Prof. Davide Bacciu and Prof. Alessio Micheli

For “Randomized Ising Models for Network Quantification: Novel Applications for Unconventional Computing”.

For “Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures”.

For “Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks”.