PeopleofSuperintelligence

Lab leader

Christopher Clark

Also known as Chris Clark

Christopher Clark is a senior research scientist at Ai2 who leads its open-ecosystem multimodal team. He trained neural networks to play Go, worked on contextual word representations, and coauthored BoolQ, Unified-IO, and the Molmo model family. The Molmo and PixMo paper received a CVPR 2025 Best Paper Honorable Mention. He earned a PhD at the University of Washington under Luke Zettlemoyer in 2020.

Works
23
Citations
14,128
h-index
13
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2015

    Predoctoral work and Go

    In 2015 Clark completes Ai2’s Predoctoral Young Investigators program. With Amos Storkey, he trains deep convolutional networks to predict expert Go moves; their networks defeat GNU Go and win some games against Fuego.

  2. 2018–2019

    Language representations and BoolQ

    In 2018 Clark and coauthors introduce deep contextualized word representations that model syntax, semantics, and context-dependent word use. In 2019 he coauthors BoolQ, a reading-comprehension dataset of naturally occurring yes-or-no questions.

  3. 2020

    Ai2’s computer-vision team

    Clark earns a PhD from the University of Washington under Luke Zettlemoyer in 2020. He completes Ai2’s Young Investigators program in 2020 before becoming a full-time research scientist on its computer-vision team.

  4. 2022

    Unified-IO across tasks

    In 2022 Clark coauthors Unified-IO, a model that combines computer vision, image generation, vision-language, and natural-language tasks in one system.

  5. 2023

    Unified-IO 2 and multimodality

    In 2023 Clark coauthors Unified-IO 2, an autoregressive model that understands and generates images, text, audio, and action.

  6. 2024

    Open Molmo and PixMo

    In 2024 Clark coauthors Molmo, a family of open vision-language models, and PixMo, a collection of open image datasets for model training.

  7. 2025

    CVPR Best Paper Honorable Mention

    In 2025 CVPR gives the Molmo and PixMo paper a Best Paper Honorable Mention. Clark is one of its authors.

  8. As of October 2026

    Leading Ai2’s multimodal team

    As of October 2026 Clark is a senior research scientist at Ai2 and leads its open-ecosystem multimodal team. He coauthors Molmo2, an open vision-language model for video understanding and point-driven grounding.

Career

  1. Since 2020Allen Institute for AI (Ai2)Senior Research Scientist and Open-Ecosystem Multimodal Team Lead
  2. 2024–2025University of Colorado Anschutz

Education

  1. 2020University of WashingtonPhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Deep Contextualized Word Representations2018 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 11,986 citationsWith Luke Zettlemoyer
  2. Simple and Effective Multi-Paragraph Reading Comprehension2018 · Annual Meeting of the Association for Computational Linguistics (ACL) · 402 citations
  3. Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases2019 · 381 citationsWith Luke Zettlemoyer
  4. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions2019 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 369 citations
  5. A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge2022 · Lecture notes in computer science · 291 citations

From OpenAlex, as of 19 October 2026.

  1. The company share of AI researchers’ top papers rose from 2% to 32%Includes Allen Institute for AI (Ai2). We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  2. Google has the highest combined h-index among AI organizationsIncludes Allen Institute for AI (Ai2). Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  3. 44% of AI career moves go from one university to anotherIncludes Allen Institute for AI (Ai2). We estimate how 14,272 AI career moves link universities, companies, labs and government research centers, with net flows and the most common paths.
  4. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other universityIncludes University of Washington. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Christopher Clark yet. Send us a free-licensed photo.

  1. Predoctoral young investigators program | Ai2 allenai.org. Checked 19 October 2026.
  2. Training Deep Convolutional Neural Networks to Play Go proceedings.mlr.press. Checked 19 October 2026.
  3. Deep Contextualized Word Representations - ACL Anthology aclanthology.org. Checked 19 October 2026.
  4. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions research.google. Checked 19 October 2026.
  5. Allen School’s Luke Zettlemoyer elected Fellow of the Association for Computational Linguistics for expanding the frontiers of natural language processing news.cs.washington.edu. Checked 19 October 2026.
  6. Christopher Clark chrisc36.github.io. Checked 19 October 2026.
  7. Young investigators program | Ai2 allenai.org. Checked 19 October 2026.
  8. Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks arxiv.org. Checked 19 October 2026.
  9. Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action arxiv.org. Checked 19 October 2026.
  10. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models arxiv.org. Checked 19 October 2026.
  11. CVPR 2025 Best Papers and Best Demos cvpr.thecvf.com. Checked 19 October 2026.
  12. Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding arxiv.org. Checked 19 October 2026.
  13. Team directory - Faces of Ai2 allenai.org. Checked 19 October 2026.