Spatial Bayesian Methodology
Bayesian Spatial Partitioning
Developing a graph-based partition model for count data using spanning forests, local split-merge-refinement moves, and Matrix Tree Theorem priors to identify connected regions with distinct data-generating processes.
Robust Inference · Anti-Trafficking
Robust Bayesian Methods for Quasi-Sparse Counts
Studying human trafficking counts as a quasi-sparse modeling problem, with emphasis on testing robust Bayesian approaches such as the Rescaled Beta and Gauss Hypergeometric frameworks against standard count models.
Compositional Data · Microbiome
Compositional Data Analysis
Building a CoDA research program spanning a Statistical Science literature review and applied microbiome papers, including published work in PLOS ONE on bacterial community structure across riverine ecosystems.