Using machine learning to cluster clothes and accessories by image similiarity, showing how certain forms gained momentum and became iconified over time.
Calculator app to search contemporary artworks in the Tate Modern by Bertin's variables for the IEEE VIS Conference 2018 in Berlin.
Web application for the Jain Family Institute to compare the economic consequences of taking out a loan versus an income-share agreement.
A computational fashion show to help you visually ingest the 7.6k items in the Metropolitan Museum of Art's Costume Institute.
Higgy is a sensor that tracks the sentimentality of my household, measured by how often we visit our "sentimental corner". It reads real-time from a relational database to send results to an interface embodying Higgy.
Examining representative items of most frequently occuring mediums in the MET by designing an interface that spotlights representative items.
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 is parsed from unstructured web pages and cleaned for storage in an RDS.
Data consulting process and visualization to find cross-relational intersections of interest across the Center for Social Movements and Innovation.
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.