Title: Analyzing the Trade-offs Between Model Complexity, Parameter Identifiability, and Data Availability in Math Modeling of Tumor Dynamics (Anna Zittle) Abstract: This summer, I worked with Professor Allison Lewis on answering the question "How much complexity does a tumor dynamics model need in order to accurately describe given (synthesized) patient data, yet still maintain parameter identifiability?" In our research, we looked at the trade offs between model complexity, parameter identifiability, and data availability. Using a Bayesian framework, we observed how credible intervals constructed about the model trajectory evolved as we sequentially added data points to inform our model. Additionally, we developed a preliminary procedure for performing robust identifiability analysis. I will be continuing my work on this project for my senior thesis.
Title: Mathematical Modeling of Beating Filaments at Low Reynolds Number (Corey Beck)