Associate Professor Of Engineering Science (Biomedical Imaging)
London, England, United Kingdom
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
🤩
Rockstar
🎓
Top School
Konstantinos Kamnitsas is an Associate Professor of Engineering Science at the University of Oxford specializing in machine learning for medical imaging, with a decade of experience bridging cutting-edge research and practical clinical applications. He has a strong track record in deep learning for image segmentation and semi-supervised methods, with work published at top venues (ICML, MICCAI, IPMI) stemming from internships at Microsoft’s Inner Eye team. Konstantinos has held research and teaching roles across Imperial College London and the University of Birmingham while also contributing industry experience at Kheiron Medical and Ocado Technology, demonstrating an ability to move algorithms into production. His background combines rigorous academic training (PhD, Imperial College) with hands-on systems engineering, from automated warehouse control software to clinical AI tools. Notably, he developed novel semi-supervised and domain-adaptation approaches that improved performance on unlabelled and cross-domain medical data—a recurring theme in his research. Based in London, he balances collaborative academic leadership with applied ML innovation aimed at improving medical imaging outcomes.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical and Computer Engineering, 7.98 / 10.00 - Top 10% of Class, Master's degree, Electrical and Computer Engineering, 7.98 / 10.00 - Top 10% of Class at Aristoteleion Panepistimion Thessalonikis
Doctor of Philosophy (PhD), Biomedical Image Analysis, Doctor of Philosophy (PhD), Biomedical Image Analysis at Imperial College London
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.