University of Texas at Austin
Julie DiCarlo

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Julie DiCarlo

Research Associate Center for Computational Medicine

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Biography

Dr. Julie C. DiCarlo is a Research Associate in the Predictive Modeling in Medicine Lab at the Center for Computational Medicine. Her work is in developing and applying quantitative imaging and analysis methods and designing clinical studies for medical digital twins.

She has worked in industry in medical imaging clinical strategy and led more than 30 imaging-based clinical trials, including pivotal studies. Dr. DiCarlo developed novel techniques for measuring image features while working in close collaboration with full-time clinical trial radiologists and was directly involved with the development and launch of compliant imaging and data management systems used in large multi-site studies with central image analysis. Her interest in imaging for personalized medicine began when she was analyzing clinical trial imaging data early in her career and observed that the same treatments didn't work for all patients. While at the Center for Computational Oncology at the Oden Institute, she worked on quantitative imaging for cancer treatment modeling and developed methods to integrate quantitative MRI with clinical standard-of-care exams.

Dr. DiCarlo received her B.S. degree in Electrical Engineering and Applied Physics from Case Western Reserve University and her M.S. and Ph.D. in Electrical Engineering from Stanford University. Her doctoral work in the Magnetic Resonance Systems Research Lab at Stanford focused on quantitative cardiac imaging, including a method to measure aortic jets in real-time that was licensed by GE and is part of an interactive cardiac MR imaging system.