I have received formal education in Mathematics and Physics, and I am currently a PhD student in Statistics at the University of Technology Sydney. My research interests lie in Bayesian inference and streamlined algorithms for multilevel longitudinal models. I also participate in research in Probability Theory, with applications in the stochastic analysis of financial models.
Recently, Chief investigator Wand and his has group published Kim & Wand (2016, Electronic Journal of Statistics), Wand (2017, Journal of American Statistical Association) and Nolan & Wand (2017, Stat) on message passing approaches to semiparametric regression analysis.
