Ben Schmidt is a technology leader and researcher with 14 years of experience who serves as CTO and Vice President of Information Design at Nomic AI, guiding product and engineering strategy at the intersection of AI, data visualization, and scalable backends. He combines academic rigor—a Princeton PhD in History and prior roles directing digital humanities at NYU and teaching—with hands-on software contributions, from backend robustness in large-data tooling to front-end visualization work on browser-scale scatterplots. At Harvard he built the Bookworm text-visualization platform and later launched multi-year funding and fellowship programs at NYU that seeded hundreds of thousands in external awards, demonstrating skill in both research translation and institutional program-building. On GitHub he has contributed practical fixes and features to high-impact projects that process massive multimedia and embedding datasets, reflecting a comfort shipping production-grade code across the stack. Based in New York, he brings a rare blend of humanities-driven curiosity and engineering discipline that helps translate complex data problems into usable tools and funded programs.
14 years of coding experience
10 years of employment as a software developer
Bachelor's, Social Studies, Bachelor's, Social Studies at Harvard University
PhD, History, PhD, History at Princeton University
Zoomable, animated scatterplots in the browser that scales over a billion points
Role in this project:
Front-end Developer
Contributions:4 releases, 61 reviews, 216 commits in 4 years 3 months
Contributions summary:Ben appears to be contributing to the front-end of the `deepscatter` project, a data visualization tool for the browser. The commits primarily involve modifications to the `deepscatter.js` and `src/deepscatter.js` files, which suggests UI component development. These commits included adding a function to export SVG with text and integrating changes from the master branch, pointing towards feature implementations and potentially bug fixes. The user also seems to be involved in improving label rendering and other visual aesthetics.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Role in this project:
Backend Developer
Contributions:99 reviews, 10 commits, 44 PRs in 2 months
Contributions summary:Ben primarily focused on enhancing the backend functionality of the Nomic Atlas client. Their contributions include implementing retry mechanisms for failed shard uploads, addressing error handling within the Atlas client, and refactoring parts of the code. They also worked on setting failure parameters and corrected a missing f-string within the codebase. This involved modifications to the core Atlas client code and test files.
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Ben Schmidt - Chief Technology Officer at Nomic AI