Postdoctoral Researcher at Fundación ELLIS Alicante
Alicante, Valencian Community, Spain
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Summary
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Adrián Rodríguez is a postdoctoral researcher at ELLIS Alicante specializing in Trustworthy AI for high-risk decision-making and recommender systems, with a strong focus on the intersection of technical safeguards and regulatory policy. He holds a PhD in Computer Science (Cum Laude) and has worked across top institutions including a research visit to MPI-SWS and collaborations with Intel, Google Research, NEC Labs, and Bank Sabadell. His current interests span foundational, multimodal, and government-permitted AI models, while he maintains deep technical expertise in Graph Neural Networks and diffusion-related challenges. Before his PhD he combined academic research on ML for health (notably voice-based neurodegenerative disease detection) with industry experience in intelligent automation at Ernst & Young. He co-organizes the Learning on Graphs Conference, reflecting his commitment to community building in graph learning. Colleagues describe him as a researcher who bridges rigorous empirical work, cross-disciplinary policy engagement, and practical industry partnerships.
8 years of coding experience
1 year of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Universidad de Burgos
Doctor of Philosophy - PhD Computer Science - AI, Doctor of Philosophy - PhD Computer Science - AI at Universitat d'Alacant
DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano and Nuria Oliver.
Contributions:68 commits, 2 pushes, 1 comment in 8 months
Contributions:297 pushes, 1 branch in 5 years 6 months
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