Blog
Short notes on data, AI, coursework, and project process. These posts can stay lightweight: a clear question, a small artifact, and a few practical takeaways.
Featured Post
Week 1: Turning a Question Into a Project
A first process note for Math and the Mouse, using one visual artifact to connect curiosity, research framing, and next steps.
Read postPost Template
Use this structure for future posts:
- Working title: one concrete question or claim.
- Context: the class, project, internship, or problem that prompted the note.
- What I tried: tools, data, sources, or reasoning steps.
- Artifact: chart, image, notebook, screenshot, prompt, or model output.
- What I learned: 2-4 observations that changed the next step.
- Next step: one specific thing to test, build, read, or revise.
Draft Ideas
Reading Model Output Like Data
A short reflection on turning AI responses into comparable observations instead of treating them as one-off answers.
From Spreadsheet to Story
A note on moving from raw tables to charts that make a non-technical decision easier.
Learning Log: Visualization Choices
A weekly format for documenting why a chart type, annotation, or color choice helped or hurt the argument.