In Fall 2020, I began my graduate studies in the Computational Science, Engineering, and Mathematics (CSEM) program at UT. My overarching research goal is to use mathematical models to aid in developing patient specific treatments for breast cancer. Patient response to therapy is not homogeneous across the population, meaning some patients do not optimally respond to standard-of-care treatments. Currently, I am exploring the idea of incorporating genetic data into a multi-scale mathematical model of tumor growth designed to predict the response of breast cancer patients to neoadjuvant therapy. The ability to predict this response could allow for intervention and therapy optimization for the individual patient, which would limit their exposure to toxicities associated with unsuccessful therapies.