Jacopo Castellini is a machine learning researcher and scientific collaborator with 12 years of experience, specializing in multi-agent reinforcement learning and decentralized algorithms for resource management across the edge-cloud continuum. He holds a PhD from the University of Liverpool and has translated academic expertise into impact-driven postdoctoral roles examining recommender-system effects on market competition and optimal planning in partially observable multi-agent systems. Currently at HES-SO Genève on the EU-funded HYPER-AI project, he focuses on hyper-distributed AI platforms that automate network resource management for efficient data processing. Colleagues describe him as someone who bridges theoretical advances and practical deployment, with a knack for designing decentralized RL approaches that scale in real-world, privacy-sensitive environments.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence and Machine Learning, Doctor of Philosophy - PhD Artificial Intelligence and Machine Learning at University of Liverpool
Laurea Magistrale LM in scienze e tecnologie informatiche Scienze informatiche, Laurea Magistrale LM in scienze e tecnologie informatiche Scienze informatiche at Università degli Studi di Perugia
Scuola Media Superiore Liceo Scientifico, Scuola Media Superiore Liceo Scientifico at Convitto Nazionale Principe di Napoli (Assisi)
Contributions:16 commits, 15 pushes, 1 branch in 1 year 1 month
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