Graduating from the University of Pisa with expertise in Artificial Intelligence and Data Engineering, focused on Medical Applications.
MSc in AI & Data Engineering
University of Pisa
I'm at the end of my Master's degree in Artificial Intelligence and Data Engineering from the University of Pisa, following my Bachelor's in Computer Engineering from the same prestigious institution.
My academic journey has been focused on developing novel deep learning approaches, particularly in medical applications, as suggested by my thesis works on RNA secondary structure prediction and Aptamer Predictive Triage systems.
Specialized in deep learning, machine learning, neural networks, and predictive modeling also with applications in the medical and bioinformatics fields.
Expert in big data processing, Kubernetes, Rancher, ETL pipelines, and scalable data architectures for enterprise applications.
Passionate about applying AI to healthcare challenges, including DNA/RNA analysis, Gene Editing, and Personalized Medicine with focus on longevity and bio-hacking.
Advanced neural network architectures for complex pattern recognition, sequence modeling, and predictive analytics.
Scalable data processing frameworks and distributed, high-availability computing for handling large-scale datasets efficiently.
Specialized in applying machine learning to healthcare challenges, from molecular analysis to clinical decision support.
You can download my CV to get a more detailed overview of my skills and experience.