Noel C. F. Codella is a Principal Researcher at Microsoft. His expertise spans topics across computer vision and healthcare, with publications in CVPR, ICCV, ECCV, ICLR, MICCAI, AAAI, Nature Medicine, Lancet Oncology, and other prestigious venues, some of which have been covered by major international news media organizations (CNN, Medgadget, etc.). Within computer vision, his expertise includes multimodal vision+language learning, transformer architectures, few-shot learning, video analysis, fairness, explainability, segmentation, and object detection. Within healthcare, his expertise includes MRI physics and data acquisition/reconstruction approaches, medical image analysis, electroencephalography, cardiac MRI, dermatology, and human physiology. Within the field of dermatology, he is co-founder of the International Skin Imaging Collaboration (ISIC) challenges on skin cancer classification, which have received over 114,000 total submissions from over 4,000 competitors to continuous live challenges (hosted at ISBI 2016-2017, MICCAI 2018-2020). These challenges have served as the foundation for numerous clinical studies of the performance of AI systems and how such systems can best integrate into clinical workflows. In these works, Dr. Codella has developed state-of-art evaluation protocols that have exposed previously unidentified errors when compared with established metrics, giving rise to new assessments of machine learning error characteristics, fairness, and biases. Such analyses have set the stage for standards in AI development in dermatology (CLEAR Derm Consensus Guidelines). Dr. Codella has over 14,000 citations according to Google Scholar, and an h-index of 38.