Presenter: Isaac Neuhaus, Ph.D., is the Executive Director of Computational Genomics at Bristol Myers Squibb, where he has spent 25+ years turning large biomedical datasets—spanning NGS, proteomics, and biomarker discovery—into decisions. He is the creator of CanvasXpress (canvasxpress.org), an open-source engine for interactive, reproducible scientific visualization, and his work focuses on computational genomics, visualization at scale, and the application of modern AI/ML and LLMs to genomic analysis. 

Presentation Description: CanvasXpress is a mature, open-source visualization engine for interactive scientific data, offering a single chart grammar across R, Python, and JavaScript that renders entirely in the browser with no server required. The presentation contrasts the limitations of static figures with CanvasXpress's strengths: code-free exploration, figures that carry their own data and full recipe inside the image, and a complete EGoG audit trail that records every interaction as a reproducible grammar operation. It also showcases built-in AI and Model Context Protocol support that let users—and agents like Claude—build and edit charts in plain English, all flowing through the same reproducible audit trail.

This session will be recorded, and all materials will be shared within one week of the presentation. Please reach out to Natasha Pacheco (natasha.pacheco@nih.gov) with any questions.