@EnderlingLab: quantitative models to personalize oncology

Cancer Therapy

Integrate mathematical, computational, biological and clinical sciences to thoroughly investigate tumor growth and response to single or combination therapy. In close collaboration with experimentalists and clinicians, mathematical models that are parameterized with experimental and clinical data can help estimate patient-specific disease dynamics, and predict response to different treatments or treatment protocols.

Abscopal Effect

The abscopal effect is the observation of systemic regression of metastatic nodules after local treatment of an individual metastatic site. We hypothesize that different metastatic sites within an individual patient have different potentials to induce an abscopal effect. Mathematical models of T cell trafficking on patient-specific metastatic disease could identity radiation treatment targets that induce systemic antitumor immunity.

Cancer Screening

The temporal evolution of biomarkers of disease progression can be modeled and simulated for individual patients and patient cohorts. A calibrated and validated model, informed with patient-specific biomarker information,  can guide personalized screening schedules to allow efficient monitoring of disease progression and the timely therapeutic intervention to improve patient outcomes.

Cancer Stem Cells

The cancer stem cell hypothesis postulates that only a subpopulation of cancer cells in a tumor is capable of initiating, sustaining, and reinitiating tumors, while the bulk of the population comprises non-stem cancer cells that lack tumor initiation potential. The interactions of these two phenotypically distinct populations can provoke various nonlinear growth kinetics in the emerging tumor, including aggressive growth, tumor dormancy and treatment-induced escape from dormancy.


Meet the Expert at ASTRO

Our poster entitled "Mathematical Model of Head and Neck Cancer Response to Predict Fractionation Schema for Robust Responses During Radiotherapy" was scored in the Top 20 abstracts in the Physics track at ASTRO, and has been selected for a special new feature called “ASTRO Connect / Meet the Expert”.  


Dr. Santiago's work on cover of  viruses 

Congratulations Dr. Daniel Santiago for his review paper on mathematical modeling of tumor-virus interactions and immunotherapy (Fighting cancer with mathematics and viruses) being featured on the cover of Viruses, Volume 9 (2017).


Welcome Aaya Khalid

We are pleased to welcome Ms. Aaya Khalid as an Undergraduate Research Assistant to the @EnderlingLab. Aaya is a Chemical Engineering major at USF and will be working on mathematical and statistical analysis of the tumor-immune microenvironment in different tumors.

Welcome Aaya.


 Welcome Dr. Renee Brady


We are pleased to welcome Dr. Renee Brady as a Postdoctoral Fellow to the @EnderlingLab. Renee earned her Ph.D. in Applied Mathematics at North Carolina State University in Mette Olufsen's Cardiovascular Dynamics Group.  In her thesis, Renee focused on mathematical modeling of the acute inflammatory response and cardiovascular dynamics in young men.

Welcome Renee.