Director Of Product & Principal AI Scientist at Alation
New York, New York, United States
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Summary
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Rockstar
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Top School
Ines Chami is a product and AI leader with a decade of experience bridging deep research and product impact, now serving as Director of Product & Principal AI Scientist at Alation. She co-founded and led the scientific direction of Numbers Station AI, translating cutting-edge research in graph neural networks, knowledge graph embeddings, and long-document QA into applied products. Her background includes research internships at Google and Microsoft and a strong academic foundation from Stanford (PhD/MS) and CentraleSupélec, underscoring expertise in multimodal deep learning and data-driven systems. Ines is equally comfortable setting product strategy and diving into model design and evaluation, with a track record of turning research prototypes into production-ready features. Colleagues describe her as a rare hybrid: a rigorous researcher who prioritizes user-centered product outcomes and scalable engineering.
10 years of coding experience
4 years of employment as a software developer
Bachelor and Master of Engineering , Bachelor and Master of Engineering at CentraleSupélec
Preparatory course Mathematics Physics Chemistry, Preparatory course Mathematics Physics Chemistry at Lycée Henri IV
Doctor of Philosophy Computational and Mathematical Engineering, Doctor of Philosophy Computational and Mathematical Engineering at Stanford University
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Ines Chami - Director Of Product & Principal AI Scientist at Alation