Nuttanan Wichitaksorn (Nate) has approximately ten years of research experience and more than five years of combined teaching experience in Econometrics and Statistics. His current specialization is Bayesian Econometrics and Statistics with applications in economics, finance, health science, and social science. His research interests also lie in the fields of computational statistics using Monte Carlo methods, financial time series modeling, limited dependent variable modeling, skew distributions, scale mixtures of normal, scale mixtures of uniform, copula modeling, robust quantile regression, and GPU-based parallel computation. Recently, he published his research articles in Computational Statistics & Data Analysis, Canadian Journal of Statistics, Applied Stochastic Models in Business and Industry, and edited volumes. Before joining TDRI, Nate was a Lecturer (equivalent to Assistant Professor in the North American system) in Statistics at University of Canterbury, New Zealand where he is now an Adjunct Fellow. Prior to that, he obtained a PhD in Econometrics from University of Sydney, Australia, and two MAs in Economics from Rutgers University, USA, and Chulalongkorn University, Thailand. Nate enjoys (but doesn’t claim to be good at) playing soccer, jogging, swimming, and singing (Thai) karaoke (sometimes).