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, to closely collaborate with Dr. Eun Sug Park.

My research focuses on developing statistical and machine learning methods that are robust to modeling assumptions, informative for scientific decision-making, and scalable to high-dimensional and structured data.

One of my recent research highlights is the development of a new family of generalized linear models for continuous proportional data, named cobin regression and micobin regression models, which improve 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.