Personal profile


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.

External positions

Department of Internal Medicine

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Neoplasms Medicine & Life Sciences
Breast Neoplasms Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences
Therapeutics Medicine & Life Sciences
Imaging techniques Engineering & Materials Science
Magnetic resonance Engineering & Materials Science
Tumors Engineering & Materials Science
Drug Therapy Medicine & Life Sciences

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Research Output 2003 2017

1 Citations

A fully coupled space–time multiscale modeling framework for predicting tumor growth

Rahman, M. M., Feng, Y., Yankeelov, T. E. & Oden, J. T. Jun 15 2017 In : Computer Methods in Applied Mechanics and Engineering. 320, p. 261-286 26 p.

Research output: Research - peer-reviewArticle

1 Citations

Quantitative [18F]FMISO PET Imaging Shows Reduction of Hypoxia Following Trastuzumab in a Murine Model of HER2+ Breast Cancer

Sorace, A. G., Syed, A. K., Barnes, S. L., Quarles, C. C., Sanchez, V., Kang, H. & Yankeelov, T. E. Feb 1 2017 In : Molecular Imaging and Biology. 19, 1, p. 130-137 8 p.

Research output: Research - peer-reviewArticle

Positron-Emission Tomography
Breast Neoplasms
2 Citations

Assessment of a simplified spin and gradient echo (sSAGE) approach for human brain tumor perfusion imaging

Stokes, A. M., Skinner, J. T., Yankeelov, T. & Quarles, C. C. Nov 1 2016 In : Magnetic Resonance Imaging. 34, 9, p. 1248-1255 8 p.

Research output: Research - peer-reviewArticle

Time series
Imaging techniques
Perfusion Imaging
7 Citations

Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials

Malyarenko, D. I., Newitt, D., Wilmes, L. J., Tudorica, A., Helmer, K. G., Arlinghaus, L. R., Jacobs, M. A., Jajamovich, G., Taouli, B., Yankeelov, T. E., Huang, W. & Chenevert, T. L. Mar 1 2016 In : Magnetic Resonance in Medicine. 75, 3, p. 1312-1323 12 p.

Research output: Research - peer-reviewArticle

Multicenter Studies
Magnetic Resonance Imaging
Direction compound