We are very excited about understanding a broad variety of evolutionary dynamics (reinforcement learning, infectious diseases, human cooperation, and cancer) using mathematical modeling and computational approaches. We have a taste for simple proof-of-concept models that allow closed-form solutions, but also our work has a significant data-driven component. We often integrate our math models with empirical data to unleash their regenerative and predictive power.