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Faculty Profile Last Modified Time: 07:19:50 AM Fri, 20 Jul 2018   Contact Information David T. Fuentes Associated Profiles  Associate Professor, Imaging Physics, UT MD Anderson Cancer Center   MDA 3SCR2.3816, Room No.: Unit 1902    dtfuentes@mdanderson.org     713.745.3377     713.563.5084    Web Link    Lab Webpage    Hot Temperature, Lasers, Oncology, Magnetic Resonance, Tumors, Temperature, Magnetic Resonance Spectroscopy, Magnetic Resonance Imaging    Associated Profiles Professional Preparation Research and Expertise Affiliations Appointments  Professional Preparation  Degree Major Institution Year  PhD Computational and Applied Mathematics The University of Texas 2008  MS Computational and Applied Mathematics The University of Texas 2005  BS Aerospace Engineering The University of Texas 2002  Research and Expertise Research Interests   My primary research interests concern the development, implementation, and validation of high performance human-assisted computational tools for MR-guided thermal therapies. The underlying research philosophy being that computational science, along with traditional theory and experiment, is a core and essential third pillar of the scientific discovery and engineering design process. Given the trends of increasingly powerful computational and visualization resources and exascale computing abilities on the horizon, computational science will continue to have an escalating role in providing more optimal planning, targeting, monitoring, and assessment of image-guided procedures. The unique dynamic closed loop control system, facilitated by the coupling of the predictive capabilities of computational simulation with real-time imaging feedback, has the potential to enable novel and robust model-constrained approaches to imaging as well as to lay the foundation for reliable minimally invasive computer-assisted treatment modalities. Such technology could dramatically increase treatment safety and efficacy as well as reduce associated treatment morbidities. Within this paradigm, the expertise of computational scientists is becoming indispensably important to anticipate and understand the underlying architectures of forthcoming computing hardware, develop the software to realize the potential of these machines, and obtain meaningful results that advance the field.  Publications/Creative Works Click here to search for this faculty member's publications on PubMed.  Affiliations  Training Grants NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows  Research Consortia GCC Cluster NanoX  Appointments Title Department / School Institution Associate Professor Imaging Physics MD Anderson Cancer Center

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