Research: Deep Learning on hypergraphs
I'm the Co-Founder of Hyperable, a Lean consultancy studio of professionals whose mission is to accelerate the AI transformation by providing technical consultancy, scientific mentoring, and lectures on applied Artificial Intelligence to SMEs.
I'm currently a Ph.D. student at Sapienza, University of Rome. My research work and interests include Machine Learning on non-Euclidean domains and higher-order networks.
I spent a period as a visiting researcher at NEC Laboratories Europe, working with the Biomedical AI team.
I've worked as a research intern in the Geometric & Visual Computing group at the department of DI at Sapienza, University of Rome, under the supervision of Prof. Emanuele Rodolà.
I have extensive experience developing Machine Learning and Deep Learning models for the biotech industry. My works include rare disease classification, text mining from medical articles, personalized drug therapy, and knowledge graphs learning in the biomedical domain.
I have an MSc in Artificial Intelligence and Robotics Engineering from the University of Rome, La Sapienza.
I have a BSc in Software Engineering from the University of Rome, Tor Vergata. During my bachelor's, I volunteered at Roma2LUG, a Linux User Group, and co-founded the ACM student chapter of Rome, Tor Vergata.