Welcome!

I am a postdoctoral associate in the Department of Statistical Science at Duke University, working with Prof. David Dunson. I received my Ph.D. in Statistics from the Department of Statistics, Texas A&M University, where I was fortunate to be advised by Prof. Huiyan Sang.

My research interests broadly span three overlapping areas:

• Bayesian computation, particularly the development of efficient Markov chain Monte Carlo algorithms,
• Spatial statistics, with a focus on scalable Gaussian process methodology,
• Probabilistic clustering, for uncovering latent structures in complex datasets with uncertainty quantification.

My recent research focuses on designing practical Bayesian hierarchical models for the analysis of geospatial data arising from various domains, including ecology and environmental epidemiology. For example, I proposed a new family of generalized linear models for analyzing continuous proportional data, with an emphasis on ecological applications. Also, my collaborative projects with Dr. Eun Sug Park include Bayesian hierarchical modeling of chemical exposures and health outcome data.

I can best be reached through email at changwoo.lee (at) duke.edu.