Sanae Lotfi is an AI research scientist with nine years of experience blending rigorous academic research and industry impact, currently at Meta after completing a PhD in Machine Learning at NYU under Andrew Gordon Wilson. Her background spans research internships and applied roles at Microsoft, Amazon, and Meta, with earlier work integrating stochastic optimization and demand forecasting in energy firms. She bridges theory and practice, moving from mathematical simulations and applied mathematics to production-aware ML research, and has a track record of collaborating across academia and large tech labs. Based in Menlo Park, she combines deep probabilistic and optimization expertise with hands-on experience deploying research in industry settings. An under-the-radar strength is her sustained trajectory from engineering and applied math foundations (CentraleSupélec, Polytechnique Montréal) into cutting-edge ML research leadership.
9 years of coding experience
5 years of employment as a software developer
Master's degree Engineering, Master's degree Engineering at CentraleSupélec
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at New York University
Master of research in Applied Mathematics, Master of research in Applied Mathematics at Polytechnique Montréal
Contributions:17 pushes, 1 branch in 2 years 7 months
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