EdwardCastillo

Texas Engineer Edward Castillo
Associate Professor & Associate Chair of Graduate EducationWilliam J. Murray, Jr. Fellowship in Engineering #2

Research Areas
Research Interests

Theoretical development, implementation and clinical deployment of numerical methods for medical image analysis; Imaging and image-guided interventions; Computational biomedical engineering

About
Edward Castillo is an associate professor in the Department of Biomedical Engineering at UT Austin and an adjunct associate professor of computational and applied mathematics (CAAM) at Rice University. He received his Bachelor of Science in mathematics from St. Mary’s University in San Antonio, TX and was a graduate of the University’s Honors Program. After receiving his Ph.D. in CAAM from Rice University, Castillo completed a post-doctoral fellowship in Mathematics at the University of California, Irvine. Prior to joining the UT BME faculty, Castillo was an assistant professor of radiation physics at the UT MD Anderson Cancer Center (2009-2014) and an associate professor of radiation oncology at the Oakland University William Beaumont School of Medicine (2014-2021).

Castillo’s research program is focused on the theoretical development, implementation and clinical application of numerical methods for medical image analysis. In collaboration with medical physicists, he has pioneered computational methods for inferring patient-specific functional tissue properties from dynamic medical imaging. Castillo and his clinical collaborators have demonstrated that incorporating these methods into the treatment planning process significantly improves radiotherapy outcomes for lung cancer patients.

Castillo has been awarded several grants, including an NIH/NCI Academic-Industry Partnership R01 and an NIH/NCI Quantitative Imaging Network UG3. He is a Charter Member for the Image Guided Intervention and Surgery (IGIS) study section of the NIH, a member of the Society for Industrial and Applied Mathematics (SIAM), and a member of the American Association of Physicists in Medicine (AAPM).

Educational Qualifications
Ph.D., Computational and Applied Mathematics, Rice University
M.A., Computational and Applied Mathematics, Rice University
B.S., Mathematics, St. Mary’s University

Select Awards & Honors

  • American Association of Physicists in Medicine (AAPM) member
  • Society for Industrial and Applied Mathematics (SIAM) member

Related Websites
Dynamic Medical Image and Computing Lab

Select Publications

Google scholar

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