This network connects materials in the IRUG spectral database based on shared display color. Each material is a node, and links form between nodes that share the same visible color. Node color reflects the material’s actual appearance. By clustering materials through visual similarity, the network uncovers hidden relationships across substances used in art and cultural heritage.

This project uses large-scale performance data and network science to explore the collaborative dynamics and creative hierarchies behind Swan Lake productions at the Royal Opera House. By connecting dancers, choreographers, designers, and composers, the network helps reveal how ballet professionals work together to bring this iconic production to life.

This data visualization project shows the collaboration network of ballet creations at the New York City Ballet. Using repertory data and network science, this visualization highlights the gender of the artists holding central roles in creative collaborations, and raises questions about women’s representation in the leadership world of ballet.

Two original data visualizations created for the Data Stories exhibition at Central European University in 2020 and 2021. Through the lens of network science and open data, I explored themes of leadership and gender inequality in ballet creation. The first story focuses on a unique creative process of transforming structured data into a clear and visually engaging story. The second story drew inspiration from the Information is Beautiful workshop and applied a concept-driven approach to design.