Modeling the standard curve of a standard dilution experiment with Stan as presented in *Bayesian Data Analysis* by Gelman *et al*.

The steps I have taken to learn how to conduct Bayesian data analysis.

How to build a hierarchical model in PyMC3 with a mixture of centered and non-centered parameterizations to avoid the dreaded funnel degeneracies.

A brief description of the tools and process behind my recent analysis of data from a study of the 'Facial Feedback Hypothesis'.

My own visualization and statistical analysis of the data from a replication study of this famous phsycology paper.

We trained a Progressive Growing GAN to produce realistic, yet novel, hand radiographs and explored its latent input space to identify an embedding of bone age.

A web application that summarizing text down to an adjustable percentage of the the most important sentences.

A web application that solves [Sudoku puzzles] using linear integer programming.

This links to my repository with my solutions to the Advent of Code 2020 programming challenges.

This links to my repository of `#TidyTuesday` submissions. This is a series of notebooks and scripts that analyze a different dataset each week where I experiment with various modeling and data visualization techniques.

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