Summary
Roberto Rocchetta is a research collaborator at SUPSI who specializes in reliability engineering, uncertainty quantification, ML/AI, and digital twins for energy systems. He blends energy engineering with probabilistic modeling and simulation-based methods to bolster the trustworthiness of AI-driven energy technologies and complex engineering systems. With eight years of experience, his career spans NASA Langley, Eindhoven University of Technology, and various international research roles, bridging academia and industry. His GitHub work focuses on resilience, reliability, risk, and vulnerability models, applying ML and statistical approaches to uncertainty quantification for energy systems, grids, and black boxes. Based in Arcisate, Italy, he leads intelligent energy system initiatives at SUPSI to support the energy transition. He turns complex uncertainty into actionable, auditable insights through digital twins and robust probabilistic methods.
9 years of coding experience
7 years of employment as a software developer
master thesis, Engineering, master thesis, Engineering at Ecole Centrale Paris
Mres Master of research, Decision making under risk and uncertainty, Mres Master of research, Decision making under risk and uncertainty at University of Liverpool
University of Bologna
English, French, Italian