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Edward Castillo is an Associate Professor and Associate Chair for Graduate Education in the Department of Biomedical Engineering at The University of Texas at Austin. His research focuses on the theoretical development and clinical deployment of numerical methods in medical image analysis. He is actively involved in projects that leverage deep learning techniques for medical image processing, including robust methods for computing pulmonary perfusion and ventilation imaging using non-contrast dynamic CT. Additionally, he works on pulmonary embolism detection and CT-derived functional imaging for cancer radiotherapy dose-response modeling, contributing significantly to advancements in computational biomedical engineering.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.