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 am interested in computable analysis (especially computable measure theory and functional analysis) and algorithmic randomness. I believe these fields can provide a means for Bayesian epistemology to describe more “realistic” agents while retaining a general, unified perspective on epistemology.
My dissertation work studies computable versions of classical representation theorems from decision theory. I am also working on introducing computability to other commonly accepted foundations for Bayesianism, especially Dutch Book theorems and expected accuracy theorems.
More recently I have been working on bringing algorithmic randomness into Bayesian nonparametrics.
