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Artificial Intelligence | April 8–10, 2019 | Boston, MA USA

Katherine Andriole, PhD

  • Director of Research Strategy and Operations, MGH & BWH CCDS; Associate Professor, Radiology, HMS,

Dr. Andriole is an Associate Professor of Radiology at Harvard Medical School, Brigham and Women’s Hospital, and was recently named the Director of Research Strategy and Operations at the MGH & BWH Center for Clinical Data Science (CCDS) (https://clindatsci.com).  She studied Biomedical Engineering, and Electrical Engineering and Medicine at Duke University and Yale University, respectively, and did postdoctoral fellowships at the University of California at Los Angeles, and the University of California at San Francisco (UCSF) Departments of Radiology.

At UCSF, Dr. Andriole was instrumental in designing, building and implementing picture archiving and communication systems (PACS) before they became commercial entities.  Her research has involved technical as well as clinically-relevant developments in medical informatics, PACS, digital radiography, image processing and analysis, business analytics, and machine learning.

Dr. Andriole has developed and taught several formal courses, directed fellowships in biomedical imaging and informatics, and mentored more than 70 trainees. She has served in multiple leadership roles for the Society of Imaging Informatics in Medicine (SIIM), currently serves on the Radiological Society of North America (RSNA) Radiology Informatics Committee and the RSNA Machine Learning Steering Committee, and is the Senior Scientist for Education at the American College of Radiology (ACR) Data Science Institute.

She is an Associate Editor of the Journal of Digital Imaging and the Journal of Medical Imaging.  Dr. Andriole has been elected a member of the Academy of Harvard Medical School, and inducted into the SIIM College of Fellows.

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