Wilson Marcilio Junior

About Me

Hi! I hold a PhD in Computer Science and work as a (Research) Engineer at Nomic AI.

My primary research interest is in unsupervised learning for dimension reduction. My research focuses mostly on developing new approaches that improve practitioners’ understanding of high-dimensional spaces.

I mostly work with neighborhood embedding techniques, and part of my job is to make these techniques more accessible in terms of scale and interpretation.

The majority of my research output is open-source. Check out HUMAP and ClusterShapley.

Research Interests

• Machine Learning: dimensionality reduction, semantic search, interpretability

News

• [Oct. 2024] HUMAP was accepted for publication at IEEE TVCG.
• [Nov. 2023] My PhD thesis received honorable mention at SIBGRAPI’23.
• [Apr. 2023] Our paper about Accessibility Reviews received honorable mention at CHI’23.

Publications