About me

I enjoy building intelligent systems to tackle complex problems. My expertise lies in machine learning and artificial intelligence (AI), with hands-on experience in computer vision, graph machine learning, generative models, and reinforcement learning.

I earned a Master’s degree in Data Science and Engineering from the Polytechnic University of Turin as part of a double-degree program with EURECOM in France.

Currently, I am a Fellow for Artificial Intelligence at CERN openlab, where I co-lead a task within the interTwin project. Our team is developing itwinai, a framework for scalable AI workflows in scientific computing. My work focuses on scaling PyTorch and TensorFlow workflows for high-performance computing (HPC) environments while integrating advanced hyperparameter optimization with Ray Tune.

I am passionate about contributing to the development of AI that is impactful, safe, and widely accessible. My long-term goal is to advance AI research and applications in organizations that align with these principles.