Center for Computational Oncology
The vision for the Center for Computational Oncology (CCO) is to develop biophysical models of tumor initiation, growth, invasion, and metastasis to establish a sound theoretical framework describing the hallmarks of cancer, and to use this knowledge to discover fundamental cancer biology, and develop tumor forecasting methods to optimize treatment and outcomes for the individual patient.
Website
Directors
Tom Yankeelov
Faculty and Research Staff
George Biros
Postdocs
Staff
Members outside the Oden Institute
Amy Brock, Caroline De Santiago, David Fuentes, Andrea Gardner, Tyler Jost, Shelli Kesler, Hugo Miniere
The center takes a unique approach to tumor model construction through its application of model inputs constrained by experiments and/or metrics tailored to each individual patient. Constructing individualized, patient-centric models offers several key advantages over conventional, population-derived metrics. Models naturally incorporate patient-to-patient heterogeneity – an approach that enables quantitative, testable predictions of tumor progression on each individual tumor and patient, allowing the model to be refined and/or verified.
News in brief
News
May 13, 2026
Seeing the Possibilities: High School Students Step into Oden Institute Research World
Students from the Liberal Arts and Science Academy got a front row seat to current research on topics including cancer, the cosmos, digital twins, robotics, and ocean systems during a field trip to the Oden Institute.
News
April 30, 2026
Casey Stowers Wins 2026 Oden Institute Outstanding Dissertation Award
Casey Stowers wins the 2026 Outstanding Dissertation Award for her research on triple-negative breast cancer.
News
April 8, 2026
Tom Yankeelov Wins 2026 President’s Research Impact Award for Breakthroughs in Breast Cancer Treatment
Professor Tom Yankeelov received the 2026 President’s Research Impact Award for his groundbreaking research in computational oncology. He was one of two UT Faculty to receive this award.