I am a Ph.D. candidate working on developing and improving the Bayesian analysis of network psychometric models. My main research interests are Bayesian statistics, network psychometrics, and Bayesian hypothesis testing.
Given the unknown structure of the graphical models used in network psychometrics, the Bayesian approach helps deal with uncertainty by expressing the plausibility of different network structures, testing hypotheses for edge inclusion/exclusion, and providing robust prediction intervals for network parameters based on empirical data. The goal of my Ph.D. project is to further extend the functionality of this methodology by adding additional features as well as making it more accessible to applied researchers.