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Bayesian data analysis allows us to quantify the certainty surrounding our conclusions. I’ve previously talked about how traditional null hypothesis significance testing (NHST) and its related p-values is tied to concerns about reproducible science. One of the ways that Bayesian data analysis improves upon NHST is by asking the right…

Why I am a Bayesian (and why you should be too)

Data Analysis, Science, Statistical Significance

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Going through graduate school in the sciences, you learn a lot outside of your core research area. You learn–or hopefully you learn–supporting skills like experimental design, producing effective visualizations, and writing for academic audiences. And one skill that most of us learn along the way is how to go about…

Clustering in the Presence of Concept Drift

Big Data, Data Analysis

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Not all types of unsupervised learning algorithms have the same level of performance in dynamic environments. Algorithms with certain characteristics are more robust to changes in the data being produced.

Knowledge Discovery: Data Mining in the Community

Data Analysis, Data Mining

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Photo of the earth at night, showing connections of light across the planet's surface

I was volunteering as a tutor with Pathways to Education (P2E) in Kingston during the first year of my PhD when I got an email. The P2E Kingston Program Researcher was trying to answer the question “Are P2E’s interventions having the desired effects?” Here’s how I used data mining to help.

For more insight into my background, you can browse my papers & academic works.

Publications

Categories

Bayesian Data Analysis for Science: A Reading List

Why I am a Bayesian (and why you should be too)

Clustering in the Presence of Concept Drift

Knowledge Discovery: Data Mining in the Community

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