Omid Bazgir
Principal Applied Scientist at Oracle
South San Francisco, California, United States
Summary
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Senior🎓
Top SchoolOmid Bazgir is a Principal Applied Scientist based in South San Francisco with eight years of experience applying geometric deep learning, causal modeling, and agentic LLMs to drug development and bioinformatics. He led and architected GRASP at Genentech, building multimodal GNNs and neural-ODE pipelines for mechanistic pharmacology and adverse event prediction, and has a track record of translating research (e.g., REFINED) into award-winning clinical prediction systems. His work spans the full ML lifecycle—research, MLOps/CI-CD, and production—combining a PhD in Electrical and Computer Engineering with hands-on contributions to medical imaging, survival modeling, and super-resolution. Known for a deep fascination with graph theory, he blends theoretical rigor with practical engineering to accelerate translational drug discovery.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at Texas Tech UniversityMaster’s Degree Electrical and Computer Engineering, Master’s Degree Electrical and Computer Engineering at University of TabrizBachelor’s Degree Electrical and Computer Engineering, Bachelor’s Degree Electrical and Computer Engineering at Islamic Azad University, Najafabad Branch
English, Arabic, Persian, KurdishGithub contributions (5)
omidbazgirTTU/REFINED
Nov 2019 - Oct 2020
Contributions:76 commits, 13 pushes, 1 comment in 11 months
omidbazgirTTU/IntegratedREFINED
Sep 2020 - May 2021
Contributions:14 commits, 13 pushes, 1 branch in 8 months
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