Interface to visualize results of the design research paper "Seeking New Ways to Visually Represent Uncertainty in Data" for the IEEE VIS Conference 2018 in Berlin.
Using machine learning to cluster clothes and accessories by image similiarity, showing how certain forms gained momentum and became iconified over time.
Examining representative items of most frequently occuring mediums in the MET by designing an interface that spotlights representative items.
A computational fashion show to help you visually ingest the 7.6k items in the Metropolitan Museum of Art's Costume Institute.
A dashboard to help marketing managers better understand how economic stability influences customer segments for a Fortune 100 life insurance company.
A Geo Planner focusing primarily on architecture design, data integrity, and creating reliable, scalable, maintainable applications.
Data consulting process and visualization to find cross-relational intersections of interest across the Center for Social Movements and Innovation.
In progress web app for the Jain Family Institute to compare lifetime income, payments and consumption by borrowing instrument.
A playground to explore digital affordances to express time through light, depth, space, etc. accompanied by literature review and design research on the topic.
Forms of Attraction displayed at the Joint Statistical Meetings (JSM) 2018, the largest gathering of statisticians and data scientists held in North America. It is held jointly with the American Statistical Association, the Royal Statistical Society and the International Statistical Institute.
Forms of Attraction made the Kantar Information is Beautiful 2018 shortlist for People, Language & Identity. 101 projects were selected for the shortlist out of a longlist of 600+ entries.