Researchers

Lead research scientist at Ai2 and a founding member of the OLMo team. He works on open language models, language agents, evaluation, and reasoning, and helps build open-model research infrastructure.

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.

Senior research scientist at Ai2 working on natural language processing, machine learning, and reasoning for the Aristo project; previously a researcher at the Institute for Natural Language Processing at the University of Stuttgart.

Research scientist at Moonshot AI studying scaling in reinforcement learning and large language models.

Researcher focused on computer vision, multimodal learning, and generative AI. His public homepage says he is currently with Stepfun, after serving as a principal scientist at SenseTime Research and a researcher at Microsoft Research Asia, and that he earned a PhD in computer science from Tsinghua University.

Xinxing Zu is a research scientist at Moonshot AI. His public profile notes a PhD in computer science from New York University, prior work as an AI scientist at Amazon, and research interests in AI agents, reasoning, and multimodality.

Yiheng Xu is a research scientist focused on multimodal AI, coding agents, and reasoning systems. His public profiles link him to Qwen research and later work at OpenAI, with publications spanning vision-language models and code generation.

Yukun Zha is a research scientist at DeepSeek. His public profile lists research interests in machine learning, reinforcement learning, and efficient inference, alongside a PhD in computer science from Dartmouth College.

Research scientist at Anthropic whose public work includes AI alignment, reinforcement learning from human feedback, and model behavior.

Computer scientist, UC Berkeley professor, and Databricks co-founder and CTO. He created Apache Spark and works on systems for large-scale data, machine learning, and compound AI applications.

PhD student at the University of Washington advised by Luke Zettlemoyer and researcher at Ai2. His work focuses on open language models, instruction tuning, data curation, and evaluation.

OpenAI researcher whose work spans alignment, machine learning, complexity science, open-ended evolution, and artificial life.

OpenAI researcher and engineer working on LLM reasoning; previously at Meta AI, DeepMind, and Jane Street.

Researcher at DeepSeek AI interested in generative models, large language models, multimodal learning, and computer vision. He is pursuing a PhD in electrical engineering at Stanford University after earning a bachelor's degree from Tsinghua University, and has also worked at Meta AI and Google.

AI researcher who co-created Sora at OpenAI and invented InstructPix2Pix during his PhD at Berkeley AI Research.

Research scientist at Tongyi Lab, Alibaba Group, working on multimodal large language models, machine reasoning, and efficient learning.

Research scientist at NVIDIA and University of Maryland PhD student whose public site highlights speech, audio, and video generation plus alignment for large language and vision-language models.

Researcher at Apple working on speech, audio, and multimodal machine learning; previously a senior research scientist at SRI International and also worked at Google.

PhD student in computer science at Peking University and research intern at PACMAN whose public homepage highlights computer systems, compilation, and parallel optimization for AI applications.

PhD student at the University of Chinese Academy of Sciences and researcher at BIGAI focused on reasoning, long context, and diffusion models; previously interned at DeepSeek, Microsoft Research Asia, and IDEA Research.

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.

Research scientist at Moonshot AI and postdoctoral scholar at Stanford University working on large reasoning models, reinforcement learning, and AI decision-making. He obtained a PhD in computer science from Arizona State University.

Juntang Zhuang is a research scientist at OpenAI working on multimodal learning and diffusion models. His public profile notes a PhD in computer science from UC Berkeley and earlier research internships at Google DeepMind and Microsoft.

Nan Duan is head of foundation model post-training at Qwen and a vice president at Alibaba Group. His public profile highlights work on foundation models and natural language processing, after earlier research leadership at Microsoft Research.

Pradeep Dasigi is a senior research scientist at NVIDIA. His public profile notes previous work at the Allen Institute for AI and a PhD in computer science from the University of Pennsylvania, with research spanning NLP, semantic parsing, and knowledge graphs.

Xingcheng Yao is a research scientist at Moonshot AI. His public profile notes prior work as a research engineer at Tencent AI Lab, a PhD in computer science from the University of Southern California, and research interests spanning NLP, multimodal systems, and AI agents.

Senior applied scientist at NVIDIA working on open foundation models and post-training. Previously he was a visiting researcher at Google DeepMind and Google Brain, and he earned an MSc in computer science from ETH Zurich.

Researcher at Anthropic working on machine learning, language models, and reinforcement learning. Previously a postdoctoral researcher at Meta FAIR, and he earned a PhD in computer science from Harvard University.

Ilge Akkaya is a research scientist at OpenAI working on reinforcement learning and robotics. His personal website lists a PhD in EECS from UC Berkeley and a BS in Electrical and Electronics Engineering from Bilkent University.

Algorithm Engineer at the Qwen Team, Alibaba Group. He received his Ph.D. in computer science from Beihang University in 2024 and works on post-training alignment for Qwen models, with research interests in large language models, graph neural networks, and recommender systems.

Chao Zhang is an applied scientist in the Alibaba Foundation Model team. His public profile notes a PhD in computer science from the University of Illinois Urbana-Champaign and research interests in NLP, large language models, reasoning, and multimodal generation.

PhD student at Renmin University of China whose homepage highlights multimodal foundation models and video understanding, with public projects and papers including DeepSeek-VL and Kimi-VL.

Research scientist at OpenAI working on AI agents, large models, and reinforcement learning. Previously worked as an applied scientist at Uber and completed a PhD in computer science at ENS Paris-Saclay under Marc Schoenauer and Olivier Teytaud.

Zhengyuan Liu is a research scientist at Alibaba Group and a PhD student at the National University of Singapore. His public profile highlights work in natural language processing, vision-language models, and grounding.

Zhen Ye is a researcher in the Qwen team at Alibaba Cloud. His public profile notes a PhD in computer science from the University of Massachusetts Amherst and research interests in natural language understanding, generation, and reasoning.

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.

Researcher at Moonshot AI focused on multimodal large language models, visual reasoning, and understanding, with publications in major computer vision and machine learning venues.

Technical staff member on Moonshot AI's agent team whose public OpenReview profile lists work across deep learning, natural language processing, large language models, vision-language models, and agents.

Research scientist at Google Research in New York City. He earned a PhD in computer science from NYU Tandon and works on language models, multimodal learning, NLP, and deep learning.

Research scientist in Tongyi Lab whose official profile highlights large language models, multimodal foundation models, and AI agents.

Xin Hu is a Member of Technical Staff at OpenAI focused on privacy and security. Xin previously held cybersecurity and machine learning roles at Robinhood, Pinterest, IBM Research, and Intel, and earned a PhD in Computer Science and Engineering from the University of Michigan.

Senior algorithm expert at Alibaba Group working on large language models, multimodal large language models, and diffusion models.

Bowen Yu is an Algorithm Expert at Qwen (Alibaba Group) working on LLM post-training and automated alignment.

Joshua (Josh) Achiam is Chief Futurist at OpenAI. He joined OpenAI in 2017 as a research scientist and has worked on AI safety research and operations, AI impacts research, and educational resources (including Spinning Up in Deep RL).

Research scientist at AI2; previously a machine learning engineer at Koko, where he worked on safety systems for language models.

Research scientist at OpenAI working on intelligent agents, computer vision, natural language processing, and robotics; he previously completed a PhD in computer science at Penn State.

Researcher working on machine learning systems and infrastructure at OpenAI. He earned his PhD from UCLA.

Research scientist at Meta GenAI working on efficient and safe language and multimodal systems. She completed a Ph.D. in computer science at Carnegie Mellon University.

AI safety researcher and engineer; former OpenAI employee, founder and AI advisor at Metaculus, and creator of the CosmoTransitions package.

Research scientist at OpenAI whose public profiles describe work on generative AI and reinforcement learning, after PhD study at the University of Cambridge.

Research scientist at Meta FAIR focused on computer vision and multimodal understanding, including image and video models, visual reasoning, large-scale training, and evaluation.

Research scientist at NVIDIA working on compression, efficient inference, post-training, multimodality, and evaluation for large language models. He completed a PhD in machine learning at Stanford and a master's in artificial intelligence at the University of Edinburgh.

Research scientist at OpenAI whose public profiles highlight multi-agent alignment, scalable training, and reinforcement learning.

Researcher focused on computer vision and multimodal large models; his homepage lists the Kimi K2.5 technical report among his publications and earlier work from Peking University.

Leon Derczynski is a professor in natural language processing at DTU Compute whose research focuses on information extraction, online harms, and the dynamics of abusive language and misinformation.

Resident at xAI and long-term visitor at the Center for AI Safety. He recently completed a PhD in electrical and computer engineering at the University of Texas at Austin, and his work is grounded in mathematical and statistical machine learning plus control theory.

Yufei Guo is an assistant professor in the UCLA Computer Science Department. His public profiles note prior work as a research scientist at OpenAI and research interests in AI agents, reinforcement learning, and large language models.

Member of technical staff at OpenAI working on alignment. Previously worked at Google, DeepMind, and Meta, and completed a PhD in neuroscience at Oxford.

Head of AI at Cohere and professor at the University of Pennsylvania whose public profiles focus on natural language understanding, reasoning, and grounding.

Mitesh M. Khapra is a professor at IIT Madras and co-founder of AI4Bharat whose research spans natural language processing, machine learning, transfer learning, and deep learning.

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.

Seungyoun Hong is a research scientist and postdoctoral scholar at Stanford University working on machine unlearning, data attribution, hallucination, and generalization.

Trung H. Bui is a staff researcher at Cohere working on generative AI, large language models, natural language processing, machine learning, and computer vision.

Vasu Singhal is an AI researcher focused on natural language processing, generative AI, and machine learning. He studied computer science at Stanford University and has worked on NLP research at FAIR.

Research scientist at Cohere Labs and PhD candidate at Stanford University focused on language models, machine learning systems, and AI safety.

Assistant professor in the University of Pennsylvania Department of Computer and Information Science whose research spans natural language processing, speech, and multimodal learning; previously a research scientist at Facebook AI Research.

Research scientist working on large-scale deep learning for speech translation, spoken language understanding, question answering, healthcare, and multimodal models.

Technical staff member at OpenAI working on large language models. Previously worked on Siri at Apple, and graduated from Carnegie Mellon University.

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

Boris Ginsburg is a principal engineer and research scientist at NVIDIA whose work focuses on efficient machine learning and deep learning for speech recognition, language processing, and computer vision.

Amelie Haghighat is an incoming assistant professor at the University of Illinois Chicago whose research focuses on trustworthy and resource-efficient machine learning systems.

Ana Klimovic is an assistant professor of computer science at ETH Zurich whose research focuses on machine learning systems, efficient hardware acceleration, and sustainable AI.

Sebastian Gehrmann is a staff research scientist at Mistral AI working on language generation, information extraction, and the evaluation of generative systems.

Compiler researcher and entrepreneur, creator of the PolyMage DSL, and Professor at the Indian Institute of Science whose work spans compilers, AI systems, and programming languages.

Researcher at DeepSeek whose public homepage describes work on DeepSeek R1, V1, V2, V3, Math, Coder, and mixture-of-experts systems.

Senior research engineer at Anthropic interested in agent foundations, model organisms of misalignment, and human-computer interaction.

Researcher at Moonshot AI working on multimodal large language models; previously a key member of Alibaba's Qwen team and author of work including Kimi-VL, DeepSeek-VL, and Qwen technical reports.

Member of technical staff at Anthropic and associate professor of computer science, data science, and linguistics at New York University on leave. His public homepage focuses on natural language processing, machine learning, and AI alignment.

Jian Yang is an Associate Professor at Beihang University whose research focuses on code intelligence, large language models, and AI agents. He worked with Alibaba Qwen from 2023 to July 2025.

Yizhong Wang is a research scientist at the Allen Institute for AI and incoming assistant professor at the University of Washington whose work focuses on language models, agents, reasoning, and open-source AI.

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.

Boris Ivanovic is a postdoctoral scholar in Stanford's Autonomous Systems Lab whose research focuses on human-centered machine learning and data-driven prediction and planning for autonomous systems.

Geri Skenderi is a research scientist at Cohere focusing on multilingual language technology, evaluation of large language models, and natural language processing for low-resource settings.

Research scientist at Meta AI working on natural language processing, dialogue systems, and large language models.

Tongxu Luo is a PhD student at The Chinese University of Hong Kong, Shenzhen, and an intern at Moonshot AI focusing on reinforcement learning for LLMs and large reasoning models.

Algorithm expert at Alibaba DAMO Academy focused on natural language generation and large language models.

Yichang Zhang is a research scientist in Alibaba's Tongyi Lab and part of the Qwen team. His public profiles describe work on machine reasoning, agent systems, post-training, synthetic data, evaluation, large language models, multimodal learning, and perception.

Research scientist in Tongyi Lab whose public homepage and OpenReview profile describe work on large language models, multimodal learning, and visual grounding. His public profiles also list affiliations with Alibaba Group and East China Normal University.

Research scientist at Qwen focused on alignment, agentic systems, and multilingual language models; previously worked on post-training at Meta and studied at Renmin University of China.

Yuling Gu is a PhD student at the NYU Center for Data Science studying large language models, machine reasoning, and robust evaluation. She was previously a predoctoral researcher at the Allen Institute for AI, where she contributed to OLMo, OLMo 2, OLMo 3, TULU 3, OLMoE, and OLMES.

PhD student at The Hong Kong University of Science and Technology (Guangzhou) whose research interests include large language models, vision-language models, AI agents, and multimodal retrieval.

Liyue Zhang is a research scientist at DeepSeek whose public profiles highlight multimodal models, reasoning, and AI agents.

Researcher at DeepSeek AI focusing on multimodal large language models and multimodal understanding.

Research scientist at DeepSeek AI. Previously completed a PhD at Carnegie Mellon University.

Ph.D. student in Computer Science at Zhejiang University and researcher on the Qwen series at Alibaba Group.

Steven Adler is a former OpenAI safety researcher and technical program manager (2020-2024). He writes Clear-Eyed AI, analyzing AI news, policy, and research with a focus on risk reduction.

AI researcher focused on reasoning and agents who worked on GPT-4, o1, and Deep Research; previously at Google Brain and earned a PhD at MIT.

Aakanksha Chowdhery is a machine learning researcher based in New York City. She works on large-scale machine learning across pre-training, post-training, inference, and system efficiency, and is known for contributions such as PaLM, Pathways, and Gemini.

Yulun Du is a Moonshot AI-affiliated researcher. Public profiles also show prior work and study at Carnegie Mellon University, including a Master of Language Technologies completed in 2020.

Wangding Zeng is a researcher at DeepSeek. His OpenReview profile also lists graduate and undergraduate study at Beijing University of Posts and Telecommunications.

Researcher at Anthropic whose public homepage and scholarly profile connect cognitive science research with AI.

Researcher and engineer focused on reinforcement learning and embodied intelligence; his public profile lists work spanning Huawei Noah's Ark Lab, Momenta, Moonshot AI, and XVI Robotics, and he is credited on Moonshot AI technical reports.

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.

Ph.D. candidate at the University of Science and Technology of China whose research focuses on improving the general reasoning abilities of foundational large language models, LLMs for recommendation, and scaling reinforcement reasoning; he lists himself as a core contributor to the Qwen2.5 and Qwen3 technical reports.

Research scientist at Moonshot AI working on foundation models, multimodal large language models, and agents; previously worked at Huawei Noah's Ark Lab and studied at the Chinese University of Hong Kong.

Researcher at DeepSeek focused on large language models, reinforcement learning, multimodal large language models, and generative AI.

Research scientist at Alibaba working on multimodal learning and generation; previously a postdoctoral researcher at Carnegie Mellon University.

Research scientist at Apple focused on natural language processing and machine learning.

Zihan Wang is a Northwestern University PhD student and DeepSeek alumnus whose public OpenReview profile includes Moonshot AI's Kimi K2.5 paper and DeepSeek model-family papers.

Research scientist at Ai2 and PhD candidate at the University of Washington. Her work focuses on language models, evaluation, and building practical open-source AI systems.

Research scientist focused on deep learning and large language models. He has worked at Google DeepMind, Meta, OpenAI, and Google Brain, and earned a PhD from UMass Amherst.

Senior Research Manager and Senior Director at Tongyi Lab, Alibaba Group, leading agents and AI infrastructure research.

Chunlin Li is a research scientist at MiniMax.

AI researcher focused on evaluating language models and agents, open NLP research, and historical linguistics. She led evaluation efforts at Hugging Face between 2023 and 2025 and helped build LightEval and the Open LLM Leaderboard.

Research scientist at Moonshot AI focused on large multimodal models and large language model post-training.

Researcher focused on AGI, multimodal models, and reasoning. Coauthor of Janus and JanusFlow.

Ai2 engineer whose public GitHub and Hugging Face profiles describe him as building LLMs at Ai2; he is also listed on OpenReview as an OLMo author.

Dongliang Wang is a research scientist at Moonshot AI whose public profiles highlight multimodal large language models. His homepage also notes earlier PhD work at Shanghai AI Lab and Shanghai Jiao Tong University.

Huabin Zheng is a research scientist at Moonshot AI. His homepage says he works on large language models, multi-agent systems, code generation, and game agents.

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