My undergraduate thesis focused on a dynamical approach to identify reversion targets for a subtype of Triple Negative Breast Cancer (TNBC). Through the use of bioinformatics tools, optimal control theory, and machine learning algorithms, several combinations of reversion targets were identified for future validation. My contribution to the project was funded by a Summer Undergraduate Research Fund from the University of Connecticut Office of Undergraduate Research.