Jorge Onieva
Senior ML Engineer at DeepHealth
Greater Boston United States
Summary
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Senior🎓
Top SchoolJorge Onieva is a Senior ML Engineer with 11 years of experience specializing in deep learning for medical imaging, currently leading AI efforts at DeepHealth in Greater Boston. He blends research-grade model development from his PhD work with hands-on engineering—building production-ready imaging tools, cloud-backed testing pipelines, and clinical software integrations. Previously at Brigham and Women’s Hospital and Harvard Medical School he was a core contributor to the open-source Chest Imaging Platform and developed many 3D Slicer visual modules used by the lung imaging community. Comfortable across Python, C++, VTK/ITK and AWS, he moves projects from data management and GPU-clustered research environments to validated clinical deployments. Notably, his background includes startup technical leadership as a former CTO, giving him product-minded perspective on bringing AI models into real-world systems.
11 years of coding experience
17 years of employment as a software developer
Bachelor's Degree Computer Science (Society Information Technologies), Bachelor's Degree Computer Science (Society Information Technologies) at Universidad de Castilla-La ManchaDoctor of Philosophy - PhD Deep learning in medical imaging, Doctor of Philosophy - PhD Deep learning in medical imaging at Universidad Politécnica de Madrid
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (37)
reproducible-research10
qt10
python10
image-processing10
slicer10
computed-tomography10
open-source10
cross-platform10
imaging10
segmentation10
medical-image-computing10
neuroimaging10
medical-imaging10
computer-vision10
vtk10
Programming languages (5)
Github contributions (5)
acil-bwh/CIPPython
Mar 2015 - Jul 2019
Contributions:14 pushes, 1 branch in 4 years 3 months
jonieva/training
Mar 2016 - Jul 2019
General code training
Contributions:35 PRs, 24 pushes, 3 branches in 3 years 4 months
machine-learningtraining
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