Adán José-garcía
Researcher In Data Science & Digital Health
Lille, Hauts-de-France
Summary
👤
Senior🎓
Top SchoolAdán José-garcía is a research scientist in data science and digital health based in Lille with eight years of experience applying unsupervised machine learning to real-world problems. He develops clustering and metaheuristic-based approaches for multi-view and multi-objective problems, with recent work focused on classifying patients with chronic autoimmune diseases. His academic trajectory (PhD and MSc from CINVESTAV-IPN) and research roles at Manchester, Exeter, and Lille blend rigorous method development with cross-domain applications in bioinformatics and labor-market/network analysis. Comfortable moving between theory and applied pipelines, he often combines optimization techniques with domain-specific feature engineering to extract actionable insights from heterogeneous data. An uncommon strength is his track record of transferring research prototypes into operational systems, evidenced early in his career by leading development of integrated operational software for industry.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at CINVESTAV-IPNBachelor of Computer Science, Computer Engineering, Bachelor of Computer Science, Computer Engineering at Instituto Tecnologico de Culiacán
English, Spanish, French
Github Skills (4)
network-visualization2
visualization2
database2
dotnet2
Programming languages (1)
Github contributions (5)
adanjoga/evoclustering
Feb 2022 - Nov 2022
Contributions:8 commits, 4 pushes, 1 branch in 9 months
adanjoga/cvik-toolbox
Feb 2021 - Feb 2023
Contributions:1 release, 15 commits, 16 pushes in 2 years
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