Saeed Arbabi
Applied Scientist End-to-End ML Systems at presurgeo
Netherlands
Summary
👤
Senior🎓
Top SchoolSaeed Arbabi is an applied scientist and engineering leader specializing in end-to-end ML systems for medical imaging, combining a PhD in AI for medical imaging with 9 years of applied experience and 15+ years of software development background. He has led full ML lifecycles—from problem formulation and large-scale data pipelines to deployment and FDA-oriented monitoring—delivering 3D reconstruction, segmentation, and geometric alignment solutions used by clinicians. His research and industry work bridge generative 2D-to-3D methods, statistical shape modeling, and reproducible cloud-based workflows, with peer-reviewed publications and a growing citation record. Comfortable steering cross-functional roadmaps, he has supervised students, collaborated with institutions including MIT, and translated research prototypes into production-grade systems. Not obvious from titles: he intentionally builds reusable research codebases and visualization tools that accelerate clinical adoption and large multi-center studies.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD AI for medical imaging, Doctor of Philosophy - PhD AI for medical imaging at Utrecht UniversityMaster's degree Computer Engineering, Master's degree Computer Engineering at Iran University of Science and TechnologyBachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Ferdowsi University of Mashad
Github Skills (46)
segmentation10
rendering9
computer-graphics9
cpp8
scientific-visualization8
arm8
cuda8
mesh-processing8
python8
volume-rendering8
odometry8
visualization8
opengl8
qt7
pytorch7
Programming languages (4)
Github contributions (5)
sarbabi/BitBot
Jan 2021 - Apr 2021
Contributions:52 commits, 49 pushes, 1 branch in 2 months
sarbabi/SolveIt
Oct 2018 - Apr 2021
Contributions:14 commits, 13 pushes, 1 branch in 2 years 7 months
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