Reasoning Models | Field

Junyang Lin (Justin Lin) is a researcher and open-source maintainer known for the Qwen family of models. His public profiles list interests in LLMs, AI agents, multimodal learning, long-horizon reasoning, world models, and reinforcement learning; multiple March 2026 news reports said he stepped down from the Qwen tech lead role.

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.

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 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.

Ahmed H. Awadallah is a Partner Research Manager at Microsoft Research. His work spans large language models, search, conversational AI, and applied machine learning.

Alex Ficek is a final-year PhD student at the University of Michigan and incoming applied scientist at Microsoft working on language models, agents, reinforcement learning, and infrastructure.

Ameet Talwalkar is an associate professor in the Machine Learning Department at Carnegie Mellon University and Chief Scientist at Datadog. His public research spans AI for science, human-AI interaction, and specialized models and agents.

Researcher and engineer focused on AI systems, applications, alignment, and interpretability; contributed to OpenAI reasoning-model system-card work.

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).

Alexander Kirillov is a researcher at OpenAI working on computer vision, deep learning, and multimodal systems. He previously held research roles at FAIR, UC Berkeley, and Carnegie Mellon University.

Chief scientist and co-founder of Mistral AI known for work on multilingual language modeling, machine translation, theorem proving, and mathematical reasoning; previously a research scientist at FAIR.

Researcher and engineer whose public work focuses on large language models, reasoning systems, and open-source machine learning.

Ching-Yao Chuang is a research scientist at NVIDIA working on computer vision, machine learning, and generative AI.

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.

Assistant professor at UC Berkeley whose public profiles focus on speech interfaces, speech synthesis, and language grounding.

Stanford AI Lab PhD researcher focused on large language models, multimodal language models, and NLP; contributed to NVIDIA multimodal model work.

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.

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.

Research scientist at OpenAI focused on large language models, post-training, reasoning, and evaluation; previously completed a PhD at NYU.

Founder of REWORKd and an applied AI engineer previously at OpenAI, Scale AI, and Stanford research, with work spanning autonomous agents and LLM applications.

Alexandre Rame is a research scientist at Mistral AI working on post-training, evaluation, and reasoning for large language models.

Barry Haddow is a natural language processing researcher affiliated with Microsoft Research and the University of Edinburgh.

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.

Senior research scientist at NVIDIA focused on large language models, reinforcement learning, and inference-time scaling for AI agents. His public NVIDIA author page also notes prior work on robotic grasping, pose estimation, and language understanding.

Member of technical staff at OpenAI working on reasoning, reinforcement learning, and post-training.

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.

Alibaba senior technology leader and researcher associated with Qwen. Public profiles list him with Alibaba Group, and official Alibaba Cloud coverage identifies him as a chief technology officer leading large-model work.

Distinguished software engineer at Google Brain focused on large-scale computer systems and machine learning applications.

Researcher at Alibaba Group working on natural language processing and multimodal AI.

Engineer at OpenAI working on inference infrastructure, product engineering, and prototyping for systems including GPT-4 and DALL-E 2.

Vice President of AI Research at NVIDIA leading generative AI and conversational AI research; previously led Amazon Alexa AI and held faculty roles at the University of Illinois Urbana-Champaign and Bilkent University.

Rogerio Feris is a principal research scientist and manager at the MIT-IBM Watson AI Lab. His work focuses on multimodal AI, efficient representation learning, and large language models with long-term memory.

Rahul Gupta is a Senior Applied Science Manager at Amazon Nova whose work spans speech, language, multimodal AI, and generative models.

Thomas Scialom is a research scientist at Microsoft working on large language model training, post-training, safety, and evaluation. His public profile highlights reinforcement learning, scalable training, and reliable language model behavior.

Marcin Michalski is a researcher at Microsoft whose public profile and Google Scholar page highlight work on small language models, reasoning, and machine learning systems.

Chief AI scientist at Mistral AI and co-founder of Kyutai. Previously worked on large language models and machine translation at Meta and earned a PhD in computer science at Sorbonne University and Inria Paris.

Vice President of Applied Deep Learning Research at NVIDIA, leading work on conversational AI, generative AI, and accelerated deep learning software.

Researcher at OpenAI working on language model training and evaluation, and co-author of the GPT-4 Technical Report.

Research scientist at Z.ai focused on multimodal understanding and generation, large language models, and reinforcement learning. He works on pre-training, post-training, and evaluation of multimodal models.

Research scientist at Z.ai focused on multimodal understanding and generation, reinforcement learning, AI agents, and end-to-end models. He received a bachelor's degree from Tsinghua University and a master's degree from UCLA.

Head of Safety Systems at OpenAI.

Research scientist at Mistral AI focused on efficient and robust machine learning, with interests including optimization, scaling laws, interpretability, and post-training.

OpenAI researcher and software engineer known for creating Triton, an open-source GPU programming language, and co-authoring the GPT-4 Technical Report.

Xifeng Yan is a professor at UC Santa Barbara whose research focuses on data mining, machine learning, and graph analytics. His public profile highlights work on graph mining, large-scale data systems, and AI methods for structured data.

Research scientist in Tongyi Lab whose public profile highlights work on speech processing, machine learning, and multimodal large language models.

Research scientist at Mistral AI working on deep learning, language technologies, and large-scale AI systems.

Researcher working on reasoning and coding models, including OpenAI o3 and o4-mini.

Distinguished Scientist and corporate vice president at Microsoft Research whose public work spans language models, search, and reasoning; arXiv author results include Phi-4 mini reasoning.

Principal Research Manager at Microsoft Research AI4Science leading language AI and foundation model work; his arXiv author results include the Phi-4 reasoning reports.

Researcher working on reasoning-focused language models, including OpenAI o1.

Machine learning researcher and writer focused on mechanistic interpretability, music generation, and image or video diffusion; contributed to OpenAI's o1 system-card work.

Researcher at Microsoft working on machine learning, natural language processing, and information retrieval.

Research scientist at Mistral AI working on language models for code.

Research scientist at Microsoft working on large language models and generative AI.

Research scientist at Microsoft AI working on language models, previously at FAIR and the University of Southern California.

PhD candidate at Shanghai Jiao Tong University focused on reinforcement learning, large language models, and coding agents; coauthor of QwQ-32B.

Junyang Lin

Shyamal Anadkat

Raphael Ho

Alec Radford

Ahmed H. Awadallah

Alex Ficek

Ameet Talwalkar

Josh Batson

Sandhini Agarwal

Alexander Kirillov

Guillaume Lample

Thomas Wolf

Ching-Yao Chuang

Bobak Shahriari

J. J. Anumanchipalli

Ali Payani

Aditya Krishna

Dianne Penn

Jason Phang

Yash Patil

Alexandre Rame

Barry Haddow

Jonathan Welsh

Amin Firooz

Jacob Walsman

Jeffrey Tworek

Jingren Zhou

Zhifeng Chen

Fei Huang

Chris Hallacy

Dilek Hakkani-Tur

Rogerio Feris

Rahul Gupta

Thomas Scialom

Marcin Michalski

Guillaume Lample

Bryan Catanzaro

Jeff Wu

Yipeng Wang

Zihan Jiang

Johannes Heidecke

Pierre Stock

Phil Tillet

Xifeng Yan

Yongqi Wang

Clement Gehring

Jake Cheng

Jianfeng Gao

Jiang Bian

Nils Olsson

Roman Ring

Shilpa Rao

Theophile Gervet

Victor Zhukov

Yash Khandelwal

Yuxiang Zheng