Beatrice S. Knudsen, MD, PhD
Over the last 10 years, I built a program that integrates histopathology, multiplex tissue staining, digital image analysis and computational pathology for biomarker development. Advances in machine learning and high-performance computing permit the extraction of quantitative data from images of cancer tissues form patients and mouse models and to ... Read More
Specialties: Pathology, Anatomical
Dave Curtis, MD
Born and raised in Salt Lake City Utah, Dr. David Curtis earned a BS in Neuroscience at Brigham Young University. He then completed his MS in Neuroscience and Pharmacology and his MD at Texas Tech University Health Sciences Center. While he and his wife enjoy exploring Utah with their son, they're usually found at home cooking, hanging laundry to dry, and failing to keep their son out of the garden.
Location: Scientific Computing and Imaging Institute
Supervisor: Dr. Tolga Tasdizen
Background: Bodong received his B.S. from University of Science and Technology of China in Electronic Information Engineering and his M.S. from University of Utah in Electrical and Computer Engineering. He also worked as Image Processing Software Engineer at Code Corporation in Greater Boston Area for four years.
Current Responsibilities: Ph.D. student working with Dr. Beatrice Knudsen and Dr. Tolga Tasdizen on image processing and deep learning. Help develop deep learning algorithms to analyze medical images.
Collaborators at the University of Utah
Collaborators at other institutions
Michael Freeman, PhD
Institution: Cedars-Sinai Medical Center
Ben Maltz Chair in Cancer Therapeutics
Vice Chair, Research, Department of Surgery
Director, Division of Cancer Biology and Therapeutics Research in the Department of Biomedical Sciences
Co-Director, Cancer Biology Program
Professor, Biomedical Sciences