My research focuses on multivariate data analysis and visualization, with an emphasis on developing methods to explore and interpret complex, high-dimensional datasets. I am particularly interested in techniques that reveal hidden patterns, relationships, and structures across multiple variables, and in designing effective visual representations that make such insights accessible to both experts and broader audiences.

Current Opening:

Master Thesis: Interactive 3D Exploration of Large Video Datasets (PDF, 665 KB)

Bachelor Thesis: Data Crawling of Montruex Jazz Festival (PDF, 502 KB)

SnakeTrees: A Visualization Solution for Discovery and Exploration of Audiovisual Features