I am currently a PhD candidate in Philosophy at the University of Arizona, and I completed my MA in Philosophy at Tufts University in 2014. I am primarily interested in the philosophy of science and the philosophy of mind/cognitive science. My dissertation (in progress) offers a revised version of real patterns which draws heavily on work in information theory, machine learning, and data science. Concurrent with my PhD, I have taken graduate-level courses in artificial intelligence, Bayesian inference, computational modeling in neuroscience, and machine learning. I am also actively involved in empirical research on moral psychology, especially folk metaethics. As a research assistant, I’ve developed deep neural networks to solve problems in planetary science, studied metaethical reasoning in children, and explored the limits of moral learning. In my free time, I enjoy cooking, coding, astrophotography, and watching terrible movies.