Dr. John Onofrey conducts basic research to develop and apply novel software solutions to solve computer vision problems by combining data science, machine learning and imaging. Dr. Onofrey has a particular interest in object detection, image classification, image segmentation, and image registration. He has applied these techniques to a wide variety of computer vision tasks in biomedical imaging and remote sensing data. Not only did these projects leverage large amounts of data to train complex machine learning software algorithms, but they also required detailed software engineering practices to rigorously test and validate these algorithms. A member of the Departments of Radiology and Biomedical Imaging, Urology, and Biomedical Engineering, Dr. Onofrey is the principal investigator of major research funded by the National Institutes of Health. Currently, his interdisciplinary work addresses challenges in prostate cancer diagnosis, liver cancer staging, and positron emission tomography (PET) image analysis. Before coming to Yale in 2007, Dr. Onofrey worked as a professional software engineer for the U.S. Army Research Lab (ARL) and Lockheed Martin. He holds a B.S. and M.S. in Computer Science from Johns Hopkins University and a Ph.D. in Biomedical Engineering from Yale University.
