Muhammed Shuaibi
Research Engineer at Meta
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolMuhammed Shuaibi is a Research Engineer at Meta on the FAIR Chemistry team with seven years of experience applying machine and deep learning to physical science problems. He holds a PhD in Chemical Engineering from Carnegie Mellon University where his research advanced prediction of electrocatalyst properties and molecular simulations. At Meta he contributes to the Open Catalyst Project, bridging large-scale datasets and graph neural network methods for quantum simulations—a thread that began during research internships at Facebook AI. Earlier work as an environmental engineer at the US EPA gave him practical modeling and regulatory experience, including 3D CAD/CFD simulations and authored whitepapers on particulate control. Based in San Francisco, he combines rigorous academic training with hands-on engineering to turn complex scientific models into scalable datasets and tools.
7 years of coding experience
2 years of employment as a software developer
B.S./M.A.S., Chemical Engineering, B.S./M.A.S., Chemical Engineering at Illinois Institute of TechnologyDoctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Carnegie Mellon University
Arabic, English
Github Skills (37)
python10
machine-learning10
pytorch-lightning10
computational-chemistry10
materials-informatics10
chemistry10
deep-learning10
gpu10
geometric-deep-learning9
pytorch9
numpy9
catalyst9
graph9
neural-network9
huggingface9
Programming languages (5)
Github contributions (5)
ulissigroup/ocp
Sep 2020 - Jan 2021
Contributions:7 reviews, 2 PRs, 74 pushes in 4 months
Open-Catalyst-Project/om-data
Jan 2024 - Apr 2025
Contributions:28 reviews, 35 PRs, 62 pushes in 1 year 2 months
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