Jo Schlemper
Principal ML Scientist at OVERJET
California, United States
Summary
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Rockstar🎓
Top SchoolJo Schlemper is a Principal ML Scientist with 13 years of experience specializing in deep learning for medical image analysis and MR image reconstruction, currently based in California. He has driven the development and FDA clearance of multiple AI-enabled imaging products, including three FDA-approved products and a state-of-the-art MRI reconstruction developed during his PhD at Imperial College London. Jo combines hands-on research—30+ publications and 10k+ citations—with product delivery and commercialization, co-inventing 7+ patents that are integrated into clinical devices. At Hyperfine he led efforts to deliver OptiveAI and deploy DL reconstruction in regulatory-compliant releases, bridging cutting-edge algorithms with verification, validation, and Kubeflow-based infrastructure. Known for solving extremely noisy, label-scarce reconstruction problems, he mentors teams to translate simulation-driven and self-supervised methods into reliable clinical software.
13 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Imperial College LondonInternational Baccalaureate, 42/45, International Baccalaureate, 42/45 at Hockerill Anglo-European College
English, Dutch, Chinese, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
image-reconstruction10
convolutional-neural-networks10
mri10
deep-learning8
deep-neural-networks7
representation-learning6
contrastive-learning6
image-registration5
attention-model5
image-segmentation4
synthetic-data4
segmentation3
pytorch3
image-classification2
fileshare1
Programming languages (4)
Github contributions (5)
js3611/Deep-MRI-Reconstruction
May 2017 - Jan 2019
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Contributions:13 pushes, 1 branch, 24 comments in 1 year 8 months
convolutional-neural-networksimage-reconstructiondeep-learningdeep-neural-networkscompressed-sensing
js3611/AssociationLearning
Dec 2014 - Jun 2015
Contributions:107 commits, 107 pushes, 1 branch in 6 months
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