Overview

My research focuses on creating useful methods. This means making them scalable and accessible to practioners; it means equipping them to handle the complexities of real data; and it means making them exceptionally accurate.

Here are some things I’m working on right now. Most of what I do revolves around interpretable matching methods for causal inference, as well as methodological and theoretical extensions to BART – but I like exploring other things as well. Feel free to click on any of the below for a brief description, or check out my Publications page.

• Generalized Bayesian Conformal Inference
• Interpretable Almost Matching Exactly
• Latent Variable BART
• Pediatric Cardiac Re-Transplantation
• Sparse Explanations for Binary Classification