Xinyi Chen portrait
Researcher 1 reports

Xinyi Chen

Google Gemini

Xinyi Chen is a PhD candidate in computer science at Princeton University and concurrently a research scientist at Google DeepMind. Her public homepage says she works at the intersection of machine learning, optimization, and dynamical systems, focusing on robust and efficient methods for sequential decision-making and control, and that she previously completed undergraduate studies in mathematics at Princeton.

Yunzhu Li portrait
Researcher 1 reports

Yunzhu Li

Google Gemini

Assistant professor at Columbia University working on embodied AI, robot learning, world models, and computer vision. Previously a research scientist at Google DeepMind.

Junxian He portrait
Researcher 2 reports

Junxian He

NVIDIA

Junxian He is an assistant professor in computer science and engineering at the Hong Kong University of Science and Technology. His public homepage and Princeton profile say he works at the intersection of natural language processing and machine learning, focusing on scalable methods for language model training and reasoning, completed a PhD in computer science at Princeton University in 2024, and previously earned bachelor's degrees in economics and computer science from Peking University.

Ruoming Pang portrait
Researcher 3 reports

Ruoming Pang

Apple

Public profiles and publications link Ruoming Pang to speech, language, and multimodal model research. Reuters reported on February 25, 2026 that OpenAI hired him from Meta.

Saumya Malik portrait
Researcher 2 reports

Saumya Malik

Ai2

Saumya Malik is a predoctoral young investigator at the Allen Institute for Artificial Intelligence working on open language modeling, reward models, and instruction following.

Victoria Graf portrait
Researcher 1 reports

Victoria Graf

Ai2

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

Yueting Wang portrait
Researcher 1 reports

Yueting Wang

Google Gemini

Research scientist at Google DeepMind working on post-training, large language model evaluation, and multimodal alignment.

Alexander Wettig portrait
Researcher 1 reports

Alexander Wettig

Ai2

Alexander Wettig is a Princeton computer science PhD student advised by Danqi Chen. His homepage says he studies language models and their training data, previously interned at Ai2, and is currently working on training coding agents at Cursor.