University of Washington

Haotian Zhang is a research scientist on Apple AI/ML's Visual Intelligence team. His homepage says he works on embodied agents that understand the world from 2D and 3D image data as well as natural language, previously interned at Microsoft Research and Azure AI, completed a PhD in electrical and computer engineering at the University of Washington in 2022, and earlier earned master's degrees at Washington and a bachelor's degree at Shanghai Jiao Tong University.

Assistant professor at the University of Chicago and head of the Conceptualization Lab, working on language generation, communication, and large language models.

Postdoctoral researcher at the Allen Institute for AI and the University of Washington whose work focuses on open language model post-training, steerability, and evaluation.

Daogao Liu's homepage says he is currently a visiting postdoctoral researcher at Google. It says his research focuses on machine learning and theoretical computer science, especially differential privacy, stochastic optimization, and algorithm design.

Rulin Shao's homepage says he is a third-year PhD at the University of Washington advised by Pang Wei Koh and Luke Zettlemoyer, and also a visiting researcher at Meta.

Mingxing Tan is a staff research scientist at Google DeepMind in the San Francisco Bay Area. His public homepage says he works on efficient models and reasoning, was the lead author of EfficientNet, EfficientDet, and MobileNetV3, and earned a Ph.D. from the University of Washington.

Ziheng Jiang is an AI researcher working on large language models and machine learning systems. His public homepage says he is a Principal AI Researcher at Meta and previously was a Principal Research Scientist at ByteDance.

Shuyue Stella Li is a Ph.D. student in the Allen School at the University of Washington advised by Yulia Tsvetkov, with research interests including proactive learning, social reasoning, and AI for health.

Jieyu Zhang's personal site says she is a final-year PhD student in computer science at the University of Washington advised by Ranjay Krishna and Alex Ratner. UW RAIVN also lists her as a PhD student since 2020, and her site lists an AI2 research internship beginning in January 2025.

Jiarui Cai's OpenReview profile lists him as a researcher at NVIDIA after prior research work at Amazon. The same profile highlights computer vision, multi-object tracking, and vision-and-language as areas of expertise.

Carnegie Mellon says Maarten Sap is an assistant professor in the Language Technologies Institute with a courtesy appointment in HCII, and also a part-time research scientist and AI safety lead at the Allen Institute for AI. His CMU profile says he received his PhD from the University of Washington.

Yuling Gu's NYU and personal pages describe her as a PhD student at NYU Center for Data Science who previously worked at Ai2 and has contributed to OLMo and OLMES.

Jacob Morrison's homepage says he is a PhD student at UW and a student researcher on the AllenNLP team at Ai2, where he mainly works on language modeling.

Chunjong "CJ" Park says he works at the intersection of multimodal LLMs and health at Google DeepMind, after a Ph.D. in computer science and engineering from the University of Washington.

Stanford Data Science lists Jiacheng Liu as a PhD candidate in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. Public sources also link this profile to OLMo 3 authorship and a past Allen Institute for Artificial Intelligence internship.

Victoria Graf studies at the University of Washington and is publicly credited on open-model work including Tulu 3 and OLMo 3.

PhD candidate at the University of Washington and research scientist at Cohere working on natural language processing and machine learning.

Ashish Sabharwal is publicly listed as Principal Researcher at the Allen Institute for AI. Public sources also list him as a coauthor of the OLMo 3 technical report.

Alisa Liu researches language models, including tokenization, data creation, and inference-time adaptation.

Scott Geng's homepage identifies him as a University of Washington PhD student and visiting researcher at FAIR; the OLMo 3 technical report lists him as a coauthor.

Weijia Shi is a Ph.D. candidate at the University of Washington. Her research focuses on building augmented and modular architectures to improve the quality, efficiency, and capabilities of language models.

Hamish Ivison's homepage says he is a PhD student in Computer Science and Engineering at the University of Washington working on natural language processing and post-training for language models. Public sources also list him as a coauthor of OLMo 3.

Kevin Farhat's homepage says he is a research engineer at Ai2 working on language models, distributed AI, and privacy-preserving training. Public sources also list him as a coauthor of FlexOlmo.

Rui Xin's public homepage identifies him as a PhD student at the University of Washington working on reinforcement learning, privacy-preserving machine learning, and memorization.

Akari Asai's public homepage identifies her as a research scientist at OLMo at Ai2 for 2025-2026 and an incoming assistant professor at Carnegie Mellon University starting in fall 2026.

Public sources identify this Boyang Li as a University of Washington student in computer science who coauthored MolmoAct. The public sources reviewed here do not support a current Ai2 employment claim.

Allen School coverage names Bohan Fang as one of the undergraduate students on the UW side of the MolmoAct team.

Haotian Zhang

Ari Holtzman

Valentina Pyatkin

Daogao Liu

Rulin Shao

Mingxing Tan

Ziheng Jiang

Shuyue Stella Li

Jieyu Zhang

Jiarui Cai

Maarten Sap

Yuling Gu

Jacob Morrison

Chunjong Park

Jiacheng Liu

Victoria Graf

Supriya Kalluri

Ashish Sabharwal

Alisa Liu

Scott Geng

Weijia Shi

Hamish Ivison

Kevin Farhat

Rui Xin

Akari Asai

Boyang Li

Bohan Fang