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, and to collaborate closely with Dr. Eun Sug Park.
My research focuses on developing statistical and machine learning methods that are robust across diverse data conditions, scalable for analysing large, high-dimensional data with complex dependence structures, and informative for scientific decision-making, with applications to environmental epidemiology and ecology.
Recent research highlight
We propose a new family of
generalized linear models for continuous proportional data, named
continuous binomial (cobin) regression and its
extension, which significantly improves robustness and scalability over
traditional beta regression. The implementation is available in the R package cobin;
check out install.packages("cobin") in R!
I can best be reached through email at changwoo.lee (at) duke.edu.