Over the years I worked in several areas of statistics. In my doctoral thesis, I looked at techniques to increase the efficiency of various Markov chain Monte Carlo samplers. This led to my long-lasting interest in the development of computational methods for Bayesian statistics. I also worked on problems in competing risks, model selection, multiple testing, latent variable models and sample surveys. My interest in copulas started in graduate school with the study of multivariate distributions with uniform marginals and special dependence structures, and subsequently led me to consider their use for  flexible statistical modelling. My collaborators, PhD students, and other trainees have constantly inspired me and played a large part in my evolution as a researcher.  Here are my math genealogy tree and page.

CURRENT RESEARCH

I am currently working on developing MCMC samplers, conformal prediction methods, copula models, tensor regression. I collaborate  on projects in genetics, ecology, astronomy and more recently, demography.