Norberto Alfaro
Lead Data Scientist
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolNorberto Alfaro is a Lead Data Scientist with eight years of experience at the intersection of aeronautical engineering, software development, and data-driven simulation. Holding a PhD in Computational Aeroelasticity from Imperial College London, he has built open-source tools for next-generation unmanned aircraft and applied data methods to accelerate aircraft model synthesis, simulation and control. At Airbus he introduced MBSE practices for landing gear and braking systems, and at BCG X he now leads advanced data science initiatives bridging research and production. Based in Madrid, he combines rigorous academic foundations with hands-on engineering and a knack for turning complex physical systems into reliable, testable software. An Ironman Switzerland 2022 finisher, he brings the same endurance and discipline to long-term research and high-stakes engineering projects.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Aeroelasticity, Doctor of Philosophy - PhD, Computational Aeroelasticity at Imperial College LondonScience and Technology Spanish Baccalaureate, 9.81/10, Science and Technology Spanish Baccalaureate, 9.81/10 at British Council School Madrid
English, Spanish
Github Skills (11)
structures10
simulation10
aspect-ratio10
python10
journal8
open-access7
creative-commons6
cpp6
academia5
dynamics2
aircraft2
Programming languages (5)
Github contributions (5)
ImperialCollegeLondon/sharpy
Oct 2018 - Nov 2022
Simulation of High Aspect Ratio aeroplanes and wind turbines in Python: a nonlinear aeroelastic code
Contributions:7 releases, 53 reviews, 1473 commits in 4 years 2 months
aspect-ratiopythonsimulationaeroelasticityaeronautics
ngoiz/pazy-model
Jul 2020 - Apr 2021
Contributions:33 commits, 22 pushes, 3 branches in 9 months
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