22 November 2024
Stacey Finley
Viterbi School of Engineering
University of Southern California
zoom recording (apologies for the missing first few minutes)
My research group works in the area of mathematical oncology, where we use mathematical models to decipher the complex networks of reactions inside of cancer cells and interactions between cells. We have combined detailed, mechanistic and data-driven modeling to study these networks and predict ways to control tumor growth. Our models generate novel mechanistic insight into cell behavior and predict the effects of strategies aimed at inhibiting tumor growth. We have also developed methods of calibrating the models to tumor image data to generate reliable predictive frameworks. In this talk, I will present our work to model the tumor ecosystem across scales: intracellular signaling of immune cells, evolution of cell states, and interactions between tumor and immune cells using agent-based models.