The tough part about being a mathematical biologist is that the mathematicians think you've gone soft and the biologists think you've gone crazy. Math's long marriage with physics motivated the development of calculus, differential equations and more. Now, big datasets in biology are allowing us to watch populations evolve and compete with other populations over resources. Consequently, biology is motivating the development of novel mathematical tools to understand evolutionary dynamics, competition, and how to analyze big data "in light of evolution". I received a B.S. in math & biology from the University of New Mexico, a PhD in quantitative & computational biology from Princeton University studying with Simon Levin. Now, I'm wrapping up a post-doc with Diana Nemergut at Duke University and starting a new post-doc with Raina Plowright at Montana State University. I'm on team science - feel free to write me for questions or help, as we're all on the same team in our effort to unravel the mysteries of nature.