Joan Miguelez
Research Staff at Barcelona Supercomputing Center
Barcelona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolJoan Miguelez is a research staff scientist at the Barcelona Supercomputing Center with 11 years' experience at the intersection of computational social science, data-centric machine learning, and responsible data-sharing practices. He holds a PhD focused on data-sharing for Responsible AI and has blended academic roles with applied engineering—teaching, building web services, and architecting back-end systems across public and private sectors. His background includes leading cross-technology teams, designing REST APIs and CI/CD pipelines, and contributing to policy and tech discourse as a former Member of the Catalan Parliament focused on science and technology. Comfortable moving between research and production, he brings hands-on software craftsmanship from PHP/Drupal and Node stacks to rigorous empirical methods for trustworthy ML. Colocated in Barcelona, he combines deep technical experience with practical governance insight, making him adept at operationalizing ethical data practices in real-world projects.
11 years of coding experience
11 years of employment as a software developer
Master in Telecommunication Engineering, Master in Telecommunication Engineering at Universitat Autònoma de BarcelonaUOC (Universitat Oberta de Catalunya)
Spanish, Catalan, English
Github Skills (74)
datasets10
dataset-generation10
model-driven10
schema-org10
json-ld10
squad9
describe9
plug9
machine-learning9
modeling9
dsl9
summarization9
open-data9
korean-nlp9
nlp8
Programming languages (4)
Github contributions (5)
SOM-Research/DescribeML
Jan 2022 - Dec 2022
DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset.
Contributions:4 releases, 135 commits, 16 PRs in 10 months
provenancedescribemlmodel-drivencompositiondata-science
JoanGi/croissant
Jan 2024 - Jun 2024
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
Contributions:2 PRs, 82 pushes, 9 branches in 4 months
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