Start Here
A guided tour of how I think, build, and communicate
If you’re new here, this is the shortest path to work that best represents me. The throughlines I aim for are clear reasoning, thoughtful systems, and human-centered storytelling.
⏱️ The quickest path (4 reads)
If you only have 20 minutes, start with these:
- How I Organized My Mermaid Life — Treat Mermaid diagrams like visual source code with a home, structure, and a tiny bit of automation.
- Rescuing my Exercise KPIs from a Puppy-shaped Root Cause — A data story about analyzing 13 years of running data with ML, visualization and finding answers to real-world questions.
- Data Scientist’s Toolkit: Intro to the AWS CLI — A friendly, hands-on guide to provisioning a secure, cloud-native database entirely from the command line.
- Austin, Boston… Why I only live in cities that rhyme — A timeline with the major “eras” of this data scientst’s journey.
Choose your lane
📖 If you want data storytelling:
Read about see the full arc from raw data to insight, for projects where I personally curated my own dataset (usually about me :).
- From Hive Management to Unstructured Data Management — A data story about becoming a “Backyard Beekeeper” and the metadata chaos it spawned. Includes Computer Vision, Weather, and (coming soon) LLM API integrations.
- Finding Lost Academic Cousins: Citation Link Prediction — A decade or so after our Visual Attention paper, I couldn’t stop wondering: Where did those ideas travel? What unexpected paths did they take? Includes Semantic Scholar API integration.
🔬 If you want technical depth:
Field notes and tutorials, experiments, and lessons learned from building real-world systems. These pieces show reusable frameworks for building real systems that work for real people.
- GitHub Actions for Jekyll — Learn how to install proper CI/CD automation for static sites.
- The Data Scientist’s Toolkit: Poetry with Python — Learn how to make clean, reproducible python environments easy with a few Poetry basics and tips.
✍️ If you want to know more about how I think:
Essays and personal perspectives that connect cognitive science to data systems, AI and interface design. These pieces reveal the mental models guiding my builds.
- Vision & Data Viz for Decision-Making — Perception science meets visual design.
- 7±2 is Everywhere: Chunking — Cognitive limits and information design.
🧭 Keep exploring
If you want the full library, these hubs make it easy to browse by format or topic.
Experiments & Musings
Tutorials, experiments, and personal reflections in chronological order.
Browse blog →Essays & Perspectives
Essays on perception, data systems, and AI governance.
Browse essays →Explore by Topic
Browse by expertise area: cognitive science, data analysis, visualization and management.
Browse topics →
If you’re hiring or evaluating fit, I recommend starting with the four reads above and then exploring the full map.