معرفی
Edward Castillo is an Associate Professor & Associate Chair of Graduate Education at the Department of Biomedical Engineering, The University of Texas at Austin. His research focuses on theoretical development and clinical deployment of numerical methods for medical image analysis. Key areas include deep learning for medical image processing and pulmonary embolism detection.
- Education: Not explicitly listed in text
Current projects involve robust methods for computing pulmonary perfusion/ventilation imaging from non-contrast dynamic CT, and cancer radiotherapy dose-response modeling. He leads the Dynamic Medical Image and Computing Lab, advancing translational research in image-guided interventions.
No specific publications listed here, but his work bridges computational methods with clinical applications. Awards include the William J. Murray, Jr. Engineering Fellowship.
As Associate Chair of Graduate Education, he oversees academic programs while maintaining active research collaborations in biomedical engineering.
