Dr. John Onofrey

Biography

John Onofrey conducts basic research to develop and apply novel software solutions to solve clinical problems, combining data science, machine learning, and biomedical imaging. He is a member of the Departments of Radiology and Biomedical Imaging, Urology, and Biomedical Engineering, and serves as the principal investigator on major research funded by the National Institutes of Health. His interdisciplinary work addresses challenges in prostate cancer diagnosis, liver cancer staging, and positron emission tomography (PET) image analysis. Dr. Onofrey’s research focuses on developing novel image analysis algorithms using machine learning and deep learning methods, with particular interest in image classification, image segmentation, and image registration. He has an applied background in computer science, contributing to various medical image analysis research projects. His doctoral research leveraged large amounts of clinical data to build effective statistical models for brain shape and brain deformation in image-guided neurosurgery. As a postdoctoral researcher, he applied machine learning to interventional image-guided biopsy for prostate cancer. Additionally, he co-created and co-teaches an interdisciplinary class on data in clinical decision-making at the Yale School of Engineering, aimed at undergraduate and graduate students as well as clinical fellows. Before joining Yale in 2007, Dr. Onofrey worked as a professional software engineer at the U.S. Army Research Lab and Lockheed Martin.

Research Interests

Experience