Curious by nature, drawn to everything that bridges theory and reality. I’m interested in understanding and navigating complex systems through scientific rigor. I see research as a form of exploration and science as a shared language for making sense of uncertainty.
M.C. Escher - Relativity (1953)
What I do?
Currently, I am a BSc Student in Statistics and Computer Science for Business, Finance, and Insurance at University of Naples “Parthenope”.
Alongside my studies, I am a Cloud Computing Trainee at Amazon Web Services (AWS), where I architect and deploy cloud-native solutions. My work focuses on designing computing architectures to support compute intensive workloads.
Moreover, as President of the Parthenope Machine Learning Society, I lead a community where students explore artificial intelligence, data science, and quantitative methods through hands-on projects and open collaboration.
My current research interests lie at the intersection of deep learning and quantum system modeling, where I investigate how bayesian architectures can advance our understanding of complex phenomena. More broadly, I am focused on developing algorithms that connect mathematical theory with applied solutions.
Before
- Former Head of Research Team at Napoli Fintech Lab with Unipol S.p.A.. I directed the design of a graph-theoretic risk-matching system for insurance portfolio analysis, and architected an Azure RAG pipeline integrating fine-tuned LLMs with semantic vector databases for domain-specific corpora retrieval.
- Ex Founder & CTO of GreenWall Research. I developed probabilistic financial time-series models using Hidden Markov Models for latent regime identification and Merton Jump-Diffusion for discontinuous price dynamics, validated empirically across multiple asset classes.
Research Projects
Selected works in machine learning, statistics, and quantitative modeling are available on the Research page and on GitHub.