Chris Newell
Chris Newell is an engineer whose work spans recommendation systems, scholarly data and open multimodal models. He coauthored recommendation research, the 2023 Semantic Scholar Open Data Platform paper and the 2024 Molmo and PixMo report. The Molmo and PixMo paper appeared at CVPR in 2025. As of October 2026, he is an engineering manager in Seattle at the Allen Institute for AI.
- Works
- 31
- Citations
- 1,109
- h-index
- 5
Publication numbers from OpenAlex, as of 19 October 2026.
Timeline
-
2012–2013
Recommender systems
His 2012 paper focuses on the user experience of recommender systems. In 2013, he and Libby Miller coauthor a design and evaluation of a client-side recommender system.
-
2015–2016
Recommendation algorithms
He coauthors the 2015 paper Blockbusters and Wallflowers, which studies accurate, diverse recommendations with random walks. In 2016, he coauthors a paper on accurate, diverse and scalable recommendations for interactive applications.
-
2023
The Semantic Scholar platform
He coauthors a 2023 paper about the Semantic Scholar Open Data Platform, which describes its Academic Graph and APIs.
-
2024
Molmo and PixMo
In 2024, he coauthors Molmo and PixMo, introducing an open family of vision-language models and datasets for image captions, image questions and 2D pointing.
-
2025
Molmo at CVPR
The Molmo and PixMo paper appears at CVPR in 2025, with Newell among its coauthors and the Allen Institute for AI among its listed affiliations.
-
As of October 2026
Engineering manager
As of October 2026, he is an engineering manager in Seattle at the Allen Institute for AI.
Career
- Since 2026Allen Institute for AI (Ai2)Engineering manager
- 2012–2024British Broadcasting Corporation
Most-cited works
- Explaining the user experience of recommender systems
- Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsWith Ali Farhadi, Andrew Head, Aniruddha Kembhavi, Chris Callison-Burch, Christopher Clark and Crystal Nam
- The Semantic Scholar Open Data PlatformWith Bailey Kuehl, Daniel S. Weld and Oren Etzioni
- Blockbusters and Wallflowers
Sources and credits
Photo: We have no published photo of Chris Newell yet. Send us a free-licensed photo.
- Chris Newell
- Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications
- The Semantic Scholar Open Data Platform
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
- CVPR 2025 Open Access Repository
- Chris Newell - Seattle, Washington, Allen Institute for AI | about.me