Jacopo Castellini

Scientific Collaborator

Geneva, Geneva, Switzerland
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Summary

👤
Senior
🎓
Top School
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.
code11 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD Artificial Intelligence and Machine Learning, Doctor of Philosophy - PhD Artificial Intelligence and Machine Learning at University of Liverpool
bookLaurea 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
bookScuola Media Superiore Liceo Scientifico, Scuola Media Superiore Liceo Scientifico at Convitto Nazionale Principe di Napoli (Assisi)
languagesItalian, English, French
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Github Skills (34)

deep-q-network10
gymnasium10
reinforcement-learning-environments10
reinforcement-learning9
multi-agent-reinforcement-learning9
20489
openai-gym9
api9
monte-carlo-tree-search9
q-learning9
deep-reinforcement-learning9
multi-agent8
server8
theano7
lasagne7

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:12 commits, 11 pushes in 1 year 2 months
Contributions:16 commits, 15 pushes, 1 branch in 1 year 1 month
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