Atlas / Reports / Detail
OpenAI o1 System Card
Reasoning Models
Connected researchers
Shyamal Anadkat
OpenAI
Engineer and product leader who worked on OpenAI's Applied AI team and now advises startups on AI products. He writes publicly about agents, retrieval, and evaluation on his personal site.
Raphael Ho
OpenAI
Research scientist at OpenAI whose public profiles describe work on generative AI and reinforcement learning, after PhD study at the University of Cambridge.
Alec Radford
OpenAI
Alec Radford is a researcher and a co-author of the GPT-4 Technical Report. His GitHub profile links to his personal website at newmu.github.io.
Josh Batson
OpenAI
Researcher and engineer focused on AI systems, applications, alignment, and interpretability; contributed to OpenAI reasoning-model system-card work.
Sandhini Agarwal
OpenAI
Sandhini Agarwal is a researcher at OpenAI. Her OpenReview profile lists her as a researcher at OpenAI (2020–present) and an undergraduate student at Stanford University (2015–2019).
Bobak Shahriari
OpenAI
AI researcher and engineering leader at OpenAI working on multimedia, generation, reasoning, and representation learning. His public work focuses on maximizing the benefits of AI while minimizing harms.
J. J. Anumanchipalli
OpenAI
Assistant professor at UC Berkeley whose public profiles focus on speech interfaces, speech synthesis, and language grounding.
Aditya Krishna
OpenAI
Machine learning researcher and Columbia PhD student working on NLP, diffusion models, reinforcement learning, and applied probability; contributed to OpenAI reasoning-model system-card work.
Dianne Penn
OpenAI
Member of technical staff at OpenAI focused on code generation and synthetic data for post-training, with interests in coding, reasoning, human data, reinforcement learning, and self-improving systems.
Jason Phang
OpenAI
Research scientist at OpenAI focused on large language models, post-training, reasoning, and evaluation; previously completed a PhD at NYU.
Yash Patil
OpenAI
Founder of REWORKd and an applied AI engineer previously at OpenAI, Scale AI, and Stanford research, with work spanning autonomous agents and LLM applications.
Jonathan Welsh
OpenAI
Postdoctoral researcher at Stanford Graduate School of Business studying how humans and AI learn from experience and language, and also working on AI training at OpenAI.
Jacob Walsman
OpenAI
Member of technical staff at OpenAI working on reasoning, reinforcement learning, and post-training.
Jeffrey Tworek
OpenAI
Jeff Tworek is a researcher at OpenAI working on GPT-4.1. Before joining OpenAI in 2022, his public profile notes work on image generation, robotics, reinforcement learning, and POMDPs.
Chris Hallacy
OpenAI
Engineer at OpenAI working on inference infrastructure, product engineering, and prototyping for systems including GPT-4 and DALL-E 2.
Johannes Heidecke
OpenAI
Head of Safety Systems at OpenAI.
Nils Olsson
OpenAI
Researcher working on reasoning-focused language models, including OpenAI o1.
Roman Ring
OpenAI
Machine learning researcher and writer focused on mechanistic interpretability, music generation, and image or video diffusion; contributed to OpenAI's o1 system-card work.