As an assistant research professor of computer science at the Johns Hopkins University, Craig Jones is interested in medical image processing and the creation and application of computer science to medical imaging. He currently works on artificial intelligence and neural network image processing of MRI, CT, and optical coherence tomography datasets (both 2D and 3D), as well as ultrasound classification, regression, anomaly detection, and segmentation projects. Jones is a member of the Malone Center for Engineering in Healthcare and serves on the Johns Hopkins Precision Medicine Analytics Platform’s Imaging and Data Science Subcommittees.
Jones began his career in magnetic resonance imaging, creating automated algorithms for multiple sclerosis lesion segmentation. His degree work focused on extending numerical optimization algorithms for myelin water quantification from MRI scans. Later, he worked on the creation of chemical exchange saturation transfer MRI pulse sequences and the fitting of these data to quantify glycogen and amid protons. He also worked for a short time at the Space Telescope Science Institute, where he created and implemented image processing algorithms for the Hubble and James Webb Space Telescopes.
Jones holds a BSc in computer science and mathematics from Simon Fraser University; an MSc in medical biophysics from the University of Western Ontario; and a PhD in physics from the University of British Columbia.