I'm a Computer Scientist with experience in scientific computing, software development, machine learning and mathematical modelling.

Throughout my academic and professional career, I have learned to translate solid theoretical foundations into production-ready software. My expertise centers on developing predictive data-driven models and implementing end-to-end computational pipelines that involve data collection and quantitative analysis, model training on actual HPC infrastructure, testing and deployment in production environments, including resource-limited hardware (edge AI) or the usage of containerization technologies.

At the moment, I'm involved in a research and development project at Glance Vision Technologies (AREA Science Park) with the aim of developing deep learning-based computer vision models for 3D scene reconstruction from visual data, in order to automate real-world industrial and robotic applications.

I'm always curious to learn new things and take part in challenging projects that address practical problems involving a mix of mathematics, software engineering, data science and teamwork!

Bachelor's Degree in Physics at the University of Trieste (UniTS)

Master's Degree in Scientific and Data-Intensive Computing (SDIC) at UniTS

Research Fellow at AREA Science Park and Glance Vision Technologies

NoTeX A noteworthy LaTeX template. View repository	Dotfiles My personal configuration files. View repository
Railway Scheduling Railway scheduling optimization using Mixed Integer Linear Programming (MILP). View repository	Stochastic Prey-Predator Modelling of stochastic Lotka-Volterra dynamics with fear effect and hunting cooperation. View repository
BoW Classifier Bag of Visual Words classifier for image classification and scene recognition in computer vision. View repository	MPC Tracking Model Predictive Control (MPC) for tracking and control of non-linear systems. View repository
Cloud Storage System Deployment of a cloud-based storage system using Docker and Kubernetes. View repository	Deep Learning Tumor Detection Deep learning-based brain tumor classification and segmentation on MRI images using CNN, U-Net, and ViT. View repository
Parallel Quicksort Parallel implementations of quicksort in C using MPI and OpenMP. View repository	Collective Operations Modelling of MPI collective operations and HPC cluster nodes from point-to-point latencies. View repository
PINN Pareto Front Presentation on the apparent Pareto front of PINNs for solving PDEs. View repository	Improved Q-Learning (IQL) Presentation of an Improved Q-learning algorithm for the autonomous Path Planning problem. View repository