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Tumor Forecasting Via Quantitative Imaging

Location: Health Discovery Building 1.204

Address: 1601 Trinity St., Bldg. B, Austin, TX 78712 | View Map »

Date: Thursday, December 13, 2018

Time: 12–1 p.m.

Contact: Elizabeth Granstrand

About the Event

The Department of Diagnostic Medicine is pleased to announce that Tom Yankeelov will be giving our next grand rounds presentation. Please RSVP to let us know if you would like to attend so we can have enough lunches on hand.

About the Speaker

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 has appointments as a professor in diagnostic medicine and oncology here at Dell Medical School. He serves as the director of the Center for Computational Oncology in the Institute for Computational and Engineering Sciences, director of cancer imaging research within the LIVESTRONG Cancer Institutes and professor with the Department of Diagnostic Medicine.

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.