Ruben Stern is a Machine Learning Engineer with nine years of experience, currently building ML solutions at Nabla from France. He combines strong academic training in applied mathematics (École Polytechnique) and an MS in Data Science from NYU with hands-on research engineering in accelerated MRI reconstruction, contributing to high-profile projects like fastMRI. His background spans medical imaging, computer vision, and applied NLP from internships at top labs and companies, and he has a track record of translating research prototypes into practical systems. Notably, he supervised officer cadets in the French Air Force and developed administrative software early in his career, reflecting a blend of technical rigor and leadership. Colleagues can expect a researcher-practitioner who moves fluidly between deep learning research and production-focused engineering.
9 years of coding experience
2 years of employment as a software developer
Master of Science (MSc), Data Science, Master of Science (MSc), Data Science at New York University
Bachelor of Science (BSc) and Master of Science (MSc), Applied Mathematics, Bachelor of Science (BSc) and Master of Science (MSc), Applied Mathematics at Ecole polytechnique
Undergraduate, Sciences, Undergraduate, Sciences at Lycée Jean-Baptiste Say
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