Yamen Mubarka
Machine Learning Research Scientist at SmarterDx
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolYamen Mubarka is a machine learning research scientist with nine years of experience applying ML to accelerate scientific discovery, currently working at SmarterDx after a multi-year research tenure at Lawrence Livermore National Laboratory. His work spans ML robustness and safety, computer vision, graph ML, regression, and Bayesian optimization, with hands-on expertise in high-performance and distributed training for scientific machine learning. He has applied ML to sequential design optimization and interpretability, pairing algorithm research with practical data pipelines and HPC deployments. Yamen has taught and supported advanced topics in deep multi-task and meta learning at Stanford and holds dual BS degrees in Cognitive Science (specializing in ML) and Physics from UC San Diego plus a Graduate Certificate in AI from Stanford. He maintains an active research profile (Google Scholar) and brings a blend of rigorous academic grounding and applied engineering that helps move models from theoretical innovation to production-ready science.
9 years of coding experience
7 years of employment as a software developer
University of California, San DiegoEtiwanda High SchoolGraduate Certificate Artificial Intelligence, Graduate Certificate Artificial Intelligence at Stanford University
English, Arabic
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
simulation10
machine-learning9
redis-server9
merlin9
hpc8
big-data8
data-science7
Programming languages (2)
Github contributions (5)
ymubarka/running-simulation
Jan 2020 - Mar 2020
Contributions:2 PRs, 37 pushes, 4 branches in 1 month
ymubarka/merlin
Oct 2021 - Nov 2021
Machine Learning for HPC Workflows
Contributions:8 pushes, 1 branch in 19 days
data-sciencemachine-learningworkflowshpcworkflow
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