Senior Researcher at Technical University of Munich
Munich, Bavaria, Germany
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Summary
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Senior
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Top School
Pablo Morato is a Senior Researcher based in Munich with 8 years of experience applying AI and computational decision-making to design, operate, and manage large-scale built-environment systems. His work bridges engineering and machine learning with a bi-directional focus: deploying AI for scalable real-world solutions while deriving new methods from practical infrastructure challenges. He has led postdoctoral research across leading European institutions (TU Munich, TU Delft, DTU, University of Liège) on topics from computer vision for building energy retrofits to data-driven asset integrity and optimal maintenance planning for offshore wind. Pablo combines deep domain expertise in offshore and maritime structures with strong methodological skills in reliability, resilience, and decision support, and has a PhD in Engineering Sciences. Notably, he translates complex digital-twin and inspection-planning problems into tractable AI-driven strategies that directly inform industry practice.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Engineering Sciences, Doctor of Philosophy - PhD Engineering Sciences at University of Liège
MSc Sustainable Engineering: Offshore Renewable Engineering with Distinction, MSc Sustainable Engineering: Offshore Renewable Engineering with Distinction at University of Strathclyde
Master’s Degree EMSHIP. Advanced Integrated Ship Design and Offshore Structures, Master’s Degree EMSHIP. Advanced Integrated Ship Design and Offshore Structures at Centrale Nantes
Engineer's Degree Maritime Engineering, Engineer's Degree Maritime Engineering at Universidad Politécnica de Madrid
Contributions:1 review, 2 PRs, 19 pushes in 8 months
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