My work focuses on studying methodological reforms in psychology and the social sciences and developing Bayesian statistical methods that support researchers. As a result, my research sits at the intersection of metascience, methodology, and mathematical psychology.
As a metascientist, I study preregistration and innovative methodologies, including analysis blinding and the many-analysts approach. As a methodologist, I specialize in developing techniques to compute Bayes factors, with a particular emphasis on the evaluation of ordinal hypotheses (e.g., predicting the direction of an effect). As a mathematical psychologist, I investigate individual differences in cognitive processes and how theoretical models can inform prior distributions.