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MedViz

Interactive visualization for biomedical literature at scale.

An AI-powered platform for exploring research patterns, temporal trends, and scientific connections.

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About this work

MedViz is an AI-powered biomedical literature visualization platform developed within biomedical AI research at the Yale School of Medicine, Department of Biomedical Informatics and Data Science. The work began with optimizing the overall interface: restructuring the UI from a scattered layout into a structured system, designing the interactive demo, refining the color legend for readability and accessibility, and introducing the temporal-distribution bar (2024 through early 2025). With a usable, structured platform in place, the work shifted toward data visualization and data storytelling: the MedViz Film documenting 30 years of Nature Medicine research (2025), and a data storytelling commission for Eli Lilly mapping 12,187 published research papers across 150 years of drug discovery (2026). Across both phases I have led the interface design, the visualization design, and the frontend implementation. The public platform is at medviz.org.

Eli Lilly 150 Years of Discovery — interactive data story
150 Years of Discovery: A Data Story for Eli Lilly
2026
An interactive scrollytelling experience mapping 12,187 published research papers across five therapeutic clusters to 18 milestone drugs — from the world's first commercial insulin in 1923 to Mounjaro in 2022. Built with D3.js, GSAP, and Astro, inspired by the Nature Medicine data storytelling format.
MedViz Film — 30 Years of Discovery in Nature Medicine
The MedViz Film: 30 Years of Discovery in Nature Medicine
2025
A data-driven storytelling film that visualizes 30 years of Nature Medicine research through interactive citation networks, color-coded clusters, and timeline-based insights.