Recent Posts

A few lessons learned along the way in completing my PhD
Last updated on 6 min read

The mysteries multiply as we look through the literature but some answers are still forthcoming.
Last updated on 9 min read

The mystery continues, leading us down an algorithmic path filled with broken sticks.
Last updated on 7 min read

A parameter collapses, a sophisticated model looms afoot and we find the start of a trail of clues in this unexpected mystery.
Last updated on 7 min read

An overview of two of the main obstacles to causal inference: Confounding and Selection Bias
Last updated on 5 min read
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Projects

Recent & Upcoming Talks

The presence of specific urban environment resources such as food vendors and recreation centers may impact diet and physical activity, …
Feb 17, 2021
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Causal Inference is the foundation of most scientific inquiry. In this simple case study we walk through several key concepts involved …
Sep 15, 2020
Slides

Jun 17, 2020
Slides Video

Jan 11, 2020 10:00 AM
Slides

Feb 19, 2019 12:00 AM
Slides
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Recent Publications

We propose the spatial-temporal aggregated predictor (STAP) modeling framework to address measurement and estimation issues that arise …
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Built environment features (BEFs) refer to aspects of the human constructed environment, which may in turn support or restrict health …
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The rstap package implements Bayesian spatial temporal aggregated predictor models in R using the probabilistic programming language …
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