product design & data viz
Move from model explanation to human understanding.
A design exploration of how interaction and visualization can help people inspect, compare, and reason about AI predictions — side-by-side model comparisons, SHAP visualizations, and a structured conversational layer for cohort analysis.
Citation Network
An interactive citation graph mapping how closely AI-explanation research and design’s comprehension research actually cite each other — making the pattern something you can see and explore, rather than just state.
Fund Performance Analytics
An internal financial dashboard that brings scattered fund data into one place, balancing quick reference with deeper performance and comparative analysis.
Songflow
A master’s thesis exploring how explanations can become interactive—helping people understand music recommendations and use descriptive attributes to refine them.
How Oscar Nominations Connect
Explore the hidden relationships between Academy Award categories.
Built with Claude Code and Cursor.
Is LEGO Going Gray?
Is LEGO going gray? How color palettes shift as more Lego sets target adults.
Built with GitHub Copilot and Cursor.
Hi, I'm Juliana.
I'm a product and data visualization designer specializing in UX for power users working with complex, high-volume data—designing dashboards, analytics tools, and decision-support systems grounded in research and analysis.
Clients include Goldman Sachs, JPMorgan Chase, Morgan Stanley, and ADP.
This site is a space for personal explorations, where I treat code as a design medium, using AI-assisted tools to rapidly explore interaction patterns, data representations, and system behaviors—particularly in the context of explainable AI and model-informed decision-making.
To get in touch, email me at bigpixel@gmail.com.