I am a visiting fellow at the Minnesota Center for Philosophy of Science. My research interests are normative theories of reasoning (logic, formal epistemology, general philosophy of science, decision theory) as well as related notions (probability and truth). I received my Ph.D. in Logic and the Methodology of Science from the University of California, Berkeley in August 2019.
My current research focuses on reasoning under uncertainty. A lot of intuitive reasoning appears to make use of objective likelihoods or "degrees of confirmation". Consider, for example, tomorrow's weather forecast ("It's likely to rain tomorrow, so bring your umbrella!") or your doctor's decision to prescribe a particular drug ("For someone in your position, the data shows that this is the best course of treatment."). Canonical accounts of this phenomenon are both probabilistic and subjective, reducing these claims to reports of epistemic confidence which, as a matter of consistency, are probabilistic. I offer an alternative account of likelihood that is both objective and non-probabilistic.
Updated February 2019