Making a Difference, Here & Beyond
The community invests in Dell Med. In return, it’s our responsibility — one we take seriously — to be agents for change and to show real impact.
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Creating a New Kind of Doctor
We recruit and train physician leaders as comfortable taking on systemic challenges in health as caring for individual patients.
Improving Care. Improving Health.
We’re here to make health — including health care — better. The end goal is a complete revolution in how people get and stay healthy.
Discovery to Impact — Faster
We reward creative thinking and encourage rapid experimentation, using collaborative programs to speed promising research to market.
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Let’s Do Big Things Together
True health demands that the whole work in harmony, which is why we’re dedicated to partnership. Indeed, we can’t achieve our goals without it.
Meet Dell Med
We’re rethinking the role of academic medicine in improving health — and doing so with a unique focus on our community.
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Make an Appointment Directory Give Faculty Students

Thomas Yankeelov, Ph.D.


Ph.D., Biomedical Engineering
SUNY at Stony Brook

M.A., M.S., Applied Mathematics, Physics
Indiana University


Thomas Yankeelov is the W.A. “Tex” Moncrief Professor of Computational Oncology and a professor of biomedical engineering and medicine at The University of Texas at Austin. He serves as the director of the Center for Computational Oncology in the Institute for Computational and Engineering Sciences and as director of cancer imaging research within the Livestrong Cancer Institutes.

The overall goal of Yankeelov’s research is to improve patient care by employing advanced in vivo imaging methods for the early identification, assessment and prediction of tumors’ response to therapy. He develops tumor forecasting methods by employing patient-specific, quantitative imaging data to initialize and constrain predictive, multiscale biophysical models of tumor growth with the purpose of optimizing therapies for the individual cancer patient. This is accomplished by dividing his efforts into approximately equal parts mathematical modeling, preclinical development, application, validation and implementation in human studies.

Yankeelov is passionate about educating the next generation of cancer scientists and has taught several courses in both medical and engineering schools including Medical Imaging, Mathematical Methods, Cancer Imaging, Biophysical Models of Cancer, and Computational Oncology.