Thinking in Public
Essays
The Cognitive Data Science Lens
Structured thinking on perception, attention, memory, and learning. These pieces show the mental models behind the builds on this site.
📚 Canon: Foundational Frameworks
Start here. These essays capture the repeatable patterns I use for data viz, model evaluation, and knowledge graph work.
Vision, Perception, and Data Viz for Decision-Making
Great charts are perceptually efficient. Preattentive cues, luminance over hue, and small multiples answer one question per view.
Bees, Graphs, and Governance
Beehive photos treated as a knowledge graph reveal universal patterns for enterprise data governance and relationship-first navigation.
RAG Without the Theater
Evidence-linked retrieval patterns you can defend. Skip magic prompts; use small, testable patterns that tie claims to sources.
🧭 Practice Notes
Shorter riffs on how to turn cognitive principles into interfaces, prompts, and operational guardrails.
Comparing models without overwhelming humans
Designing evaluation views that respect working memory limits while keeping vendor claims honest.
IA you can reuse across data products
Templates for consistent widths, typography, and card structures so pages feel like one system.