I am a PhD candidate in the Logic and Philosophy of Science department at the University of California, Irvine. Before that I was an MA student in Philosophy at the University of Wisconsin, Milwaukee, and before that I completed a BA in Philosophy at Northwestern University.
I work primarily in Bayesian epistemology / statistics and mathematical logic, especially the theory of computation. In particular, I use tools from computable measure theory and algorithmic randomness to study classical problems in the Bayesian framework. I believe these fields can provide a means to describe more “realistic” agents while retaining a general, unified perspective on epistemology
My dissertation work aims to establish a foundation for computable Bayesian epistemology. This includes uniformly computable representation theorems, an application of algorithmic randomness to prior selection, and Dutch book theorems.
Josiah Lopez-Wild 