Keivan Moradi
Project Scientist at University of California, Los Angeles
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolKeivan Moradi is a Project Scientist and physician-scientist with 10+ years blending neuroscience, software engineering, and machine learning to build large-scale 3D image processing pipelines and cloud tools that doubled data extraction performance for neuroimaging teams. He holds an M.D. and a Ph.D. in Neuroscience and has led over 10 advanced neuronal reconstruction projects, producing 10 peer-reviewed papers (including one in Nature) and more than 30 conference presentations. Keivan’s work uniquely combines deep domain knowledge in neuroanatomy and brainstem microcircuitry with practical software delivery—implementing 10+ software tools and establishing 4 optimized methodologies for reconstructing Alzheimer’s plaques. A published author on data mining, he excels at translating complex biological problems into scalable computational solutions and thrives in cross-functional, collaborative environments focused on accountability and impact.
10 years of coding experience
11 years of employment as a software developer
Doctor of Medicine (M.D.), General Practitioner, Doctor of Medicine (M.D.), General Practitioner at Zanjan University of Medical SciencesHigh School, Biology, General, A, High School, Biology, General, A at Allameh Helli High School and Middle SchoolDoctor of Philosophy (Ph.D.), Neuroscience, A+, Doctor of Philosophy (Ph.D.), Neuroscience, A+ at George Mason University
Persian, English, Turkish, Arabic, Azerbaijani
Github Skills (79)
python10
deep-learning10
data-science10
tensorflow10
pytorch10
machine-learning10
ml9
points9
neural-network9
openframeworks9
utility9
deep-neural-networks9
sparse9
image-analysis8
jax8
Programming languages (5)
Github contributions (5)
k1moradi/Hippocampome.org-Data-Mining-Plugin-for-Google-Sheets
Aug 2017 - Mar 2021
Contributions:109 commits, 103 pushes, 1 branch in 3 years 7 months
k1moradi/MachineLearningSynapsePhysiology
Mar 2021 - Apr 2022
A Deep Learning or RandomForest model builder for synaptic physiology.
Contributions:1 release, 2 PRs, 106 pushes in 1 year 1 month
deep-learningrandomforestphysiologyneural-networksmachine-learning
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