Roberto Rocchetta
Research Collaborator
Arcisate, Lombardy, Italy
Summary
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Senior🎓
Top SchoolRoberto Rocchetta is a research collaborator and reliability engineer with nine years’ experience applying uncertainty quantification, statistical learning, and ML to resilience and risk problems in energy systems. His work bridges simulation-based digital twins and probabilistic methods to make AI and power networks more trustworthy, informed by postdoctoral collaborations with Philips and research stints at NASA Langley and ETH Zurich. Trained in energy engineering and decision-making under uncertainty (PhD, University of Liverpool), he specializes in surrogate modeling, optimization and reinforcement learning for maintenance and robustness. Based in Lombardy, he combines academic rigor with applied impact—translating theoretical UQ frameworks into tools for smart-grid and infrastructure resilience that inform real-world energy transitions.
9 years of coding experience
7 years of employment as a software developer
master thesis, Engineering, master thesis, Engineering at Ecole Centrale ParisMres Master of research, Decision making under risk and uncertainty, Mres Master of research, Decision making under risk and uncertainty at University of LiverpoolUniversity of Bologna
English, French, ItalianProgramming languages (1)
Github contributions (5)
Roberock/Reinforcement-Learning-forPowerGrid-Operation_and_Maineinance
Jan 2021 - Nov 2022
Contributions:11 commits, 10 pushes, 1 branch in 1 year 10 months
Roberock/NetworkTopologyvsFlowVulnerbaility
Mar 2017 - Mar 2023
Contributions:5 pushes, 1 branch in 6 years 1 month
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