Donato Maragno
Research Scientist II at tulanā
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolDonato Maragno is a research scientist blending eight years of expertise in operations research and machine learning to build production-ready decision tools for large-scale supply chains and energy systems. With a PhD (cum laude) from the University of Amsterdam and visiting researcher stints at MIT and Harvard, he translates rigorous theory—robust optimization, combinatorial models, and deep learning—into scalable Amazon deployments that improve spare-parts availability and grid efficiency. Based in Munich, he focuses on sustainability-aware decision science, optimizing HVAC and battery storage alongside inventory policies to cut carbon and costs. He also advises startups as an AI advisor, bringing enterprise-scale engineering discipline to early-stage productization. Notably, his work emphasizes metrics and robustness under uncertainty, ensuring models remain reliable when operational conditions shift.
8 years of coding experience
1 year of employment as a software developer
The startup training, The startup training at Università BocconiNorges teknisk-naturvitenskapelige universitetUniversity of BolognaSummer school, Healthcare management with Big Data, Summer school, Healthcare management with Big Data at 天津大学Doctor of Philosophy - PhD, Operations Research, Cum laude (top 5%), Doctor of Philosophy - PhD, Operations Research, Cum laude (top 5%) at Universiteit van Amsterdam
Italian, English, German
Stackoverflow
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Github contributions (5)
donato-maragno/robust-CE
Jan 2023 - Mar 2023
Contributions:36 commits, 14 pushes in 2 months
donato-maragno/Amazon-LMRRC
Nov 2021 - Dec 2021
Contributions:13 commits, 3 pushes in 21 days
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