Fernando García
Research Fellow & Data Science Coordinator At The Knowledge Transfer Unit
Bilbao, Autonomous Community of the Basque Country, Spain
Summary
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Rockstar🎓
Top SchoolFernando García is a senior data scientist and research fellow with 11 years of experience building AI-driven solutions at the intersection of biomedical engineering and applied mathematics. Currently coordinating data science and knowledge transfer at BCAM, he combines postdoctoral research in tissue engineering, diabetes technology and biomedical imaging with hands-on software engineering to deliver scalable, research-grade AI applications. His PhD (cum laude) in Biomedical Engineering and MS in Telecommunications underpin a rare blend of signal-processing rigor and translational biomedical focus. Fernando’s background includes visiting roles at Cambridge and Eindhoven and a track record of turning academic research into practical tools for healthcare and industry. Notably, he pairs deep domain expertise with software craftsmanship, making him equally comfortable prototyping models and guiding their adoption beyond the lab.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Engineering, Cum laude, Doctor of Philosophy - PhD, Biomedical Engineering, Cum laude at Universidad Politécnica de Madrid
Spanish, English, German, Italian, Basque
Github Skills (119)
mvc10
ruby10
automation10
ruby-client10
introspection10
sidekiq10
virtualization10
html10
jruby10
vagrant10
reflection10
rails10
ruby-rails10
docker10
pry10
Programming languages (9)
Github contributions (5)
ferdynton/ferdynton.github.io
Apr 2018 - Dec 2024
Contributions:20 pushes, 4 branches in 6 years 8 months
ferdynton/dotfiles
Oct 2014 - Nov 2019
My very own dotfiles
Contributions:68 commits, 7 PRs, 61 pushes in 5 years 2 months
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