Research Portfolio — 2026

Statistician & programmer building Bayesian models to uncover insights in complex data.

I'm Jacob — a graduate student completing my Ph.D. in Statistics. I focus on Bayesian methods with applications in biology and criminology.

Selected Core Research

Bayesian Spanning Trees

Developing methods for identifying regions of differential data-generating processes using spanning trees and the Matrix Tree Theorem prior. Specializing in MCMC efficiency optimization.

Spatial Transcriptomics

Applying advanced spatial partitioning methodologies to environmental microbiology challenges, mapping bacterial indicator networks for water quality assessments.

The 2025 Rescaled Beta

Applied statistical infrastructure utilizing complex rescaled beta distributions to accurately model and examine socio-demographic indicators of human trafficking.