Umberto Mele
AI & Data Scientist
Lugano, Ticino, Switzerland
Summary
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Senior🎓
Top SchoolUmberto Mele is an AI & Data Scientist with eight years of experience applying advanced machine learning to energy systems, currently developing production and consumption forecasting models at BKW AG in Switzerland. A PhD candidate at IDSIA/USI, he bridged deep learning and reinforcement learning with combinatorial optimization—designing heuristic solvers for TSP—which gives him a rare mix of theoretical rigor and practical algorithm design. His work spans diffusion models for consumption profiling, graph- and ontology-based RAG systems, and exploratory AI approaches for price and weather prediction to support the energy transition. He combines strong academic credentials (PhD research, top-ranked Master’s in Data Science) with hands-on industry delivery in regulated utility settings. Based in Lugano, he leverages domain knowledge of climate-weather-energy interactions to translate novel AI methods into operational forecasts. An interesting thread through his career is using cutting-edge generative and RL techniques not just for novelty but to make energy planning more robust and interpretable.
8 years of coding experience
Summer school, Computer Science, Summer school, Computer Science at Eidgenössische Technische Hochschule ZürichCorso di Master Universitario di 2° livello-CMU2, Finance and Financial Management Services, Corso di Master Universitario di 2° livello-CMU2, Finance and Financial Management Services at MeliusForm Business SchoolDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at USI Università della Svizzera italianaMaster's degree, Data Science, 110/110 con lode, Master's degree, Data Science, 110/110 con lode at Sapienza Università di Roma
Italian, Portuguese, EnglishProgramming languages (1)
Github contributions (5)
UmbertoJr/umberto-junior-mele
Feb 2019 - Aug 2023
Contributions:42 pushes, 1 branch in 4 years 6 months
UmbertoJr/Compressive-Sensing-and-Dictionary-Learning
Jul 2018 - Dec 2018
Contributions:30 commits, 28 pushes, 1 branch in 4 months
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