Noel Codella

About

I am a Principal Researcher at Microsoft. My expertise spans topics across computer vision and healthcare, with publications in CVPR, ICCV, ECCV, ICLR, MICCAI, 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, my interests include few-shot learning, transformer architectures, vision+language tasks, fairness, explainability, and object detection. Within healthcare, my expertise includes dermatology, electroencephalography, cardiac MRI, and human physiology. In dermatology, I am a 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). My Ph.D. research was focused on cardiac MRI in the department of Human Physiology at the Weill Medical College of Cornell University.

In addition to technical expertise building state-of-art machine learning systems and identifying new fields of study, I have fundamental expertise in application domain risks and costs, especially in healthcare, where I have led and collaborated on numerous clinical validation studies and assessments of machine learning error characteristics, fairness, and biases. In these works, I have developed state-of-art evaluation protocols that have exposed previously unidentified errors when compared with established metrics.