Since 2012, I've been fascinated by the power of clear, effective visuals, whether untangling complex ML model outputs or illustrating simple data stories.
Code-first, Psychological Knowledge, Vision Science, Graph Accessibility, Grammar of Graphics, Graphic Design
Read more about these principles
You'll find my visualizations are code-first, which means they're agile and ready to update as the data evolves. I bring my cognitive science domain knowledge to this - understanding what makes a graph work for people based on evidence on how we read visuals (like research by Garcia-Retamero et al, 2017) and making sure they're accessible (color-blind friendly, Birch, 2012).
My approach leans on strong quantitative data design fundamentals: the grammar of graphics (Wilkinson, 2005) and is informed by elegant graphic-design principles, like informative grid layouts.
Why all this effort? Because well-crafted visuals are key to understanding complexity.
| Sparse Bayesian Model of Covid-19 Digital Health |
Vaccination Decision Features in 26'700 People |
Properties of World Democracies in 2020 |
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| view code | view code | view code |
| Major Depression Symptoms on 52 Clinical Scales |
ISO Country Codes |
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| Fried (2016) publication | view code |