Summary
Jo 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.
12 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 London
International Baccalaureate, 42/45, International Baccalaureate, 42/45 at Hockerill Anglo-European College
English, Dutch, Chinese, Japanese