Adrián Rodríguez

Postdoctoral Researcher at Fundación ELLIS Alicante

Alicante, Valencian Community, Spain
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Summary

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Senior
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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.
code8 years of coding experience
job1 year of employment as a software developer
bookBachelor's Degree Computer Science, Bachelor's Degree Computer Science at Universidad de Burgos
bookDoctor of Philosophy - PhD Computer Science - AI, Doctor of Philosophy - PhD Computer Science - AI at Universitat d'Alacant
bookUOC (Universitat Oberta de Catalunya)
languagesSpanish, English
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Stackoverflow

Stats
56reputation
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4answers
0questions
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Github Skills (27)

del10
autoencoder10
self-supervised-learning10
contrastive-learning10
gnn9
graph-representation-learning9
computer-vision9
dos8
deep-learning8
machine-learning8
graph8
pytorch8
audio-processing7
python7
random-forest6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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AdrianArnaiz/DiffWire

May 2022 - Jan 2023

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
graphgnngraphneuralnetworkrewiringcommute-times
AdrianArnaiz/AdrianArnaiz

Jan 2021 - Jul 2026

Contributions:297 pushes, 1 branch in 5 years 6 months
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