Christopher M. Murphy, MD, earned a BS in Mechanical Engineering from the University of Arizona College of Engineering & Mines and his medical degree from the University of Arizona College of Medicine. He completed his internship at Naval Medical Center, San Diego and served as a Naval Undersea/Diving Medical Officer before completing a diagnostic radiology residency and abdominal imaging fellowship at UCSF.

During his service in the U.S. Navy, Dr. Murphy held a variety of roles, including primary care provider for marines, submariners, divers and special operators. He held roles in high-risk submarine, diving, and expeditionary environments often serving as the sole physician medical provider on multiple priority one operations, with examples including Chief Saturation Diving Medical Officer for NASA Extreme Environment Mission Operations and back-to-back U.S. Navy Arctic expeditions. In these roles he provided medical support for international teams of astronauts, scientists, divers and submariners in a variety of high-risk scenarios.

Dr. Murphy’s research interests include resident education, the application of artificial intelligence in medical imaging, emergency room imaging resource utilization and optimization and underwater diving physiology. As a project lead at UCSF, he is currently developing an AI algorithm to improve the quality of CT imaging for pulmonary artery embolisms. His prior research involved studying neurological disorders using MRI and PET imaging, and he has co-authored multiple publications and conference presentations on these topics.