Javier Idocin
YUFE MSCA Postdoc Fellow at University of Essex
Zaragoza, Aragon, Spain
Summary
👤
Senior🎓
Top SchoolJavier Idocin is a postdoctoral researcher and YUFE MSCA Fellow with 11 years of experience bridging academic research and applied AI. Based in Zaragoza and currently at the University of Essex, he completed a PhD focused on improving the generalization capabilities of artificial intelligence and has hands-on experience in conversational agents from an early internship. His background spans research internships, a data science master’s, and computer engineering—giving him a strong blend of theoretical rigor and practical implementation. Javier favors creative approaches to old problems, enjoys working with novel ideas informed by a fondness for history and books, and often explores how empirical methods can enhance model robustness. Colleagues describe him as a researcher who translates deep academic insights into usable AI tools and prototypes.
11 years of coding experience
Ingeniería Informática, Computación., Ingeniería Informática, Computación. at Universidad de ZaragozaResearch Internship, Artificial Intelligence, Research Internship, Artificial Intelligence at University of EssexDoctor's Degree, Computer Science, Mejoras a la capacidad de Generalización de la Inteligencia Artificial, Doctor's Degree, Computer Science, Mejoras a la capacidad de Generalización de la Inteligencia Artificial at Universidad Pública de NavarraMáster en Ciencia de Datos y Arquitectura de Computadores, Ciencias de la Información, Perfil de Ciencia de Datos., Máster en Ciencia de Datos y Arquitectura de Computadores, Ciencias de la Información, Perfil de Ciencia de Datos. at Universidad de Granada
English
Github Skills (14)
fuzzy-logic10
fusion9
classification8
ai7
python7
multi-objective-optimization7
genetic-algorithm7
differential-evolution6
optimization5
algorithm1
multilabel-classification1
machine-learning1
gradient-boosting1
scikit-learn1
Programming languages (3)
Github contributions (5)
Fuminides/ex-fuzzy
Jan 2024 - Jun 2026
A Python library for explainable AI using approximate reasoning
Contributions:1 release, 2 reviews, 12 PRs in 2 years 5 months
aipythonapproximate-reasoningexplainable-aifuzzy-logic
Fuminides/Fancy_aggregations
Nov 2019 - Mar 2022
A collection of aggregation functions: T-norms, Choquet, Sugeno, etc.
Contributions:10 releases, 97 commits, 87 pushes in 2 years 4 months
aggregationchoquetcf12sugenofusion
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