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Bio

Thomas Yankeelov serves as Director of Cancer Imaging Research in the LIVESTRONG Cancer Institutes of the Dell Medical School. He holds the W.A. "Tex" Moncrief Jr., Simulation-Based Engineering and Sciences Professorship in Computational Oncology and leads the Tumor Modeling Group in the university's Institute for Computational Engineering and Sciences.

He is a computational biomedical engineer and came to The University of Texas at Austin from Vanderbilt University, where he served as the Ingram Professor of Cancer Research; professor of radiology and radiological sciences, physics, biomedical engineering and cancer biology; and director of cancer imaging research. He also served as a co-leader of the Host-Tumor Interactions Research Program for the Vanderbilt-Ingram Cancer Center.

Yankeelov is the recipient of a distinguished $6 million recruitment grant from the Cancer Prevention and Research Institute of Texas (CPRIT).

His clinical research focuses on improving patient care by employing advanced imaging methods for the early identification, assessment and prediction of tumors and their response to therapy. He has developed successful tumor-forecasting methods by combining imaging technologies with patient-specific data to build predictive, multiscale biophysical models of tumor growth. His research emphasizes the importance of offering personalized therapies to cancer patients.

Yankeelov is a fellow of the American Institute of Medical and Biological Engineers and has served on the editorial boards of scientific publications such as Magnetic Resonance Imaging, Medical Physics and Breast Cancer Research. He received his B.A. in mathematics from the University of Louisville, his M.A. in applied mathematics and M.S. in physics, both from Indiana University, and his Ph.D. in biomedical engineering from Stony Brook University.

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  • 5 Similar Profiles
Breast Neoplasms Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences
Neoplasms Medicine & Life Sciences
Tumors Engineering & Materials Science
Magnetic resonance Engineering & Materials Science
Diffusion Magnetic Resonance Imaging Medicine & Life Sciences
Imaging techniques Engineering & Materials Science
Breast Medicine & Life Sciences

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Research Output 2003 2019

1 Citation (Scopus)
Magnetic Resonance Imaging
Magnetic resonance
Tumors
Tumor
Imaging techniques

Assessing metastatic potential of breast cancer cells based on EGFR dynamics

Liu, Y. L., Chou, C. K., Kim, M., Vasisht, R., Kuo, Y. A., Ang, P., Liu, C., Perillo, E. P., Chen, Y. A., Blocher, K., Horng, H., Chen, Y. I., Nguyen, D. T., Yankeelov, T., Hung, M. C., Dunn, A. K. & Yeh, H. C., Dec 1 2019, In : Scientific reports. 9, 1, 3395.

Research output: Contribution to journalArticle

Open Access
Epidermal Growth Factor Receptor
Breast Neoplasms
Cell Membrane
Neoplasms
MCF-7 Cells

Calibrating a Predictive Model of Tumor Growth and Angiogenesis with Quantitative MRI

Hormuth, D. A., Jarrett, A. M., Feng, X. & Yankeelov, T., Jul 15 2019, In : Annals of Biomedical Engineering. 47, 7, p. 1539-1551 13 p.

Research output: Contribution to journalArticle

Magnetic resonance imaging
Tumors
Volume fraction
Blood
Magnetic resonance
3 Citations (Scopus)

Characterizing Trastuzumab-Induced Alterations in Intratumoral Heterogeneity with Quantitative Imaging and Immunohistochemistry in HER2+ Breast Cancer

Syed, A. K., Woodall, R., Whisenant, J. G., Yankeelov, T. & Sorace, A. G., Jan 1 2019, In : Neoplasia (United States). 21, 1, p. 17-29 13 p.

Research output: Contribution to journalArticle

Open Access
Immunohistochemistry
Breast Neoplasms
Neoplasms
Positron-Emission Tomography
Magnetic Resonance Imaging

Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+ breast cancer

Jarrett, A. M., Shah, A., Bloom, M. J., McKenna, M. T., Hormuth, D. A., Yankeelov, T. & Sorace, A. G., Dec 1 2019, In : Scientific reports. 9, 1, 12830.

Research output: Contribution to journalArticle

Open Access
Paclitaxel
Breast Neoplasms
Pharmaceutical Preparations
Theoretical Models
Therapeutics