Welcome!

I am an incoming tenure-track assistant professor in the Department of Statistics at the University of Florida, starting in Fall 2026.

Currently, 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.

Some of my research keywords include:

• Statistical machine learning, in particular on prior-data fitted networks (PFNs),
• Spatial statistics, probabilistic clustering, Bayesian computation,
• Applied statistical methods for environmental epidemiology.

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 corresponding paper has been accepted for publication in the Journal of the American Statistical Association, and its implementation is available in the R package cobin; check out install.packages("cobin") in R!

I can best be reached through email at lee.changwoo (ãτ) ufl.εďυ.