Amel Awadelkarim
Research Scientist at Meta
Oakland, California, United States
Summary
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Senior🎓
Top SchoolAmel Awadelkarim is a Research Scientist at Meta with eight years of experience blending machine learning, preference learning, and network science to improve labeling and ranking from text, image, and graph signals. A recent Stanford PhD in Computational and Mathematical Engineering, her doctoral work developed discrete choice and ranking models applied to K–12 school choice in partnership with the San Francisco Unified School District. At Meta’s Central Applied Science group she applies multimodal LLMs (including LLaMA-based pipelines) and interaction signals to enhance ads and content ranking, having interned on GRASS to strengthen ranking signals. Her background spans applied research and production-minded engineering—from implementing a Bayesian skill-rating system at Google to teaching network courses at Stanford—reflecting both theoretical depth and pragmatic impact. Based in Oakland, she brings a rare combination of domain expertise in discrete choice models and hands-on experience deploying ML solutions at scale.
8 years of coding experience
1 year of employment as a software developer
Master of Science (M.S.), Engineering Science and Mechanics, Master of Science (M.S.), Engineering Science and Mechanics at Penn State UniversityDoctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Stanford University
Github Skills (6)
qr-decomposition3
linear-algebra1
numerical1
algebra1
root-finding1
julia1
Programming languages (2)
Github contributions (5)
ameloa/streamorder
Jun 2020 - Jul 2020
Contributions:26 commits, 37 pushes, 1 branch in 1 month
ameloa/rankingmodels
Feb 2023 - Dec 2024
Contributions:8 pushes in 1 year 11 months
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