About

Noel C. F. Codella

Noel C. F. Codella is a Principal Researcher at Microsoft whose work sits at the intersection of foundation models, computer vision, and healthcare AI. He has made influential contributions spanning multimodal vision-language learning, transformer architectures, representation learning, fairness and evaluation, and clinically grounded medical AI, with publications in venues including CVPR, ICCV, ECCV, ICLR, MICCAI, AAAI, Nature Medicine, and Lancet Oncology.

His technical foundation includes graduate work in cardiac MRI spanning imaging physics, data acquisition, reconstruction, and downstream clinical analysis - a rare combination that informs his approach to building robust and trustworthy medical AI systems. At Microsoft, he has helped drive frontier work in both general computer vision and medical imaging, including MedImageInsight, an open-source foundation model for general-domain medical imaging that achieved state-of-the-art or human-expert-level performance across a wide range of tasks and modalities.

He is also a co-founder of the International Skin Imaging Collaboration (ISIC) skin cancer challenges, which have drawn more than 114,000 submissions from over 4,000 participants and helped shape how AI systems in dermatology are benchmarked, validated, and integrated into clinical workflows. His work has emphasized not only building high-performing AI systems, but also developing rigorous evaluation methods that reveal hidden failure modes, biases, and deployment risks in real-world settings. His research has also been covered by major media outlets including CNN, CNBC, Forbes, MedGadget, and The Economist.