News
- Presented AI-driven optimization of detector design for the FCC-ee at the 4th US FCC Meeting at SLAC.
- Graduated from the MSc in Artificial Intelligence & Data Engineering at the University of Pisa with 110 cum laude.
- Submitted ResCTrans, an explainable Transformer-based amyloidosis classifier from ECG signals, to the IEEE Journal of Biomedical and Health Informatics.
- Joined SLAC National Accelerator Laboratory (Stanford University) as a Visiting Scientist in the Vernieri Group, building agentic AI for FCC detector design.
- Awarded the Zegna Scholarship for academic excellence and merit.
- Started a 4-month visiting research stay at Mila (sciNeurotech Lab, Polytechnique Montréal) as a recipient of the Mitacs Globalink Research Scholarship.