Carnegie Mellon University

Aengus Lynch is a fifth-year PhD student in machine learning at Carnegie Mellon University advised by Zico Kolter. His homepage says he works on control, reinforcement learning, games, and machine learning, and his CV shows research internships at Anthropic and Google DeepMind after completing a BASc in engineering physics at the University of British Columbia.

William Saunders is a research scientist at Anthropic working on aligning and evaluating language models. His public homepage says he works at the intersection of game theory, optimization, and deep learning, previously interned at OpenAI, DeepMind, and Mila, studied mathematics at the University of Oxford, and is a PhD student in machine learning at Carnegie Mellon University.

Andy Zou is a final-year PhD student in the Language Technologies Institute at Carnegie Mellon University. His homepage says he studies large language models, reasoning, coding, and AI safety, and his CV shows previous internships at Scale AI and Google after BS and MS degrees in electrical engineering and computer sciences from UC Berkeley.

Sanjiv Kumar is a Google Fellow and vice president at Google DeepMind. His homepage says he leads a machine learning team working on foundation models including LLMs and generative AI for Gemini, has also led research in deep retrieval and ranking, and earned a Ph.D. in computer science from Carnegie Mellon University in 2005.

Ke Ye is a fifth-year PhD student in the Language Technologies Institute at Carnegie Mellon University. His homepage says his research spans natural language processing, machine learning, and artificial intelligence, including language models, speech and speech-language models, conversational AI, and reasoning, and notes that before Carnegie Mellon he worked at Apple Intelligence. His OpenReview profile lists Apple foundation-model work alongside earlier roles at Google, Roblox, and Capital One.

Kanishka Rao is a researcher at Google. Public Google Research and OpenReview profiles connect Kanishka Rao to work in natural language processing, speech processing, robotics, and responsible AI, and list earlier student-research and internship roles at Carnegie Mellon University, Google Research, and Microsoft Research along with a master's degree in language technologies from Carnegie Mellon University.

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.

Sanjiv Kumar is a Google Fellow and vice president at Google Research. His public homepage says he leads teams working on large machine learning foundation models and generative AI, has spent more than 25 years building machine learning systems and products, and received a PhD in computer science from Carnegie Mellon University in 2005.

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.

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.

Abhinav Khattar is a research scientist at NVIDIA working on LLM alignment, customization, and machine translation. Before joining NVIDIA, he earned a master's degree in computer science from Carnegie Mellon University and worked on information retrieval and speech recognition.

Pengcheng Yin is a research scientist at Google DeepMind working on Gemini Code and natural-language-to-code generation. His homepage also lists earlier experience as a part-time research collaborator at Facebook AI Research and research internships at Microsoft research groups.

Da-Cheng Juan is a software engineer at Google Research. His official Google Research profile says he has worked on large-scale semi-supervised learning with Expander and personalized recommendation for computational advertising, received a PhD from Carnegie Mellon University in 2014 before joining Google, and works on machine learning, convex optimization, and data mining.

Yao Lu is a research scientist at NVIDIA Research working on embodied AI, foundation models, and computer vision. His public homepage says he previously worked at Google DeepMind and Boston University and earned a Ph.D. from Carnegie Mellon University.

Bhuwan Dhingra is an associate professor of computer science at Duke University and is also affiliated with Google DeepMind. His public Duke and lab profiles say he leads the AI for Language Technologies lab, co-directs Pratt at TUNL, is a member of Duke AI Health, works on natural language processing, multimodal learning, and trustworthy AI, and received a PhD in computer science from Carnegie Mellon University in 2019.

Works on information extraction, tabular data, and NLP for healthcare, and previously completed an MS in Robotics at Carnegie Mellon University.

Yifei Qu is a technical staff member at JD Explore Academy in Beijing and a Ph.D. student at the University of Texas at Austin. The homepage says Yifei Qu received a master's degree from Carnegie Mellon University in 2023, a bachelor's degree from Sun Yat-sen University in 2021, expects to graduate in 2027, and works on learning and optimization, reinforcement learning, reasoning, and alignment for large language models under Peter Stone.

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

Haoqi Fan is a computer vision researcher working on multimodal foundation models. His public homepage says he graduated from Carnegie Mellon University's Robotics Institute, and his OpenReview profile lists him as a researcher at Seed, ByteDance Seed.

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.

Jesse Dodge is a research scientist at Meta Superintelligence Labs. His public work spans evaluation, reproducibility, efficiency, and open large language models, and his homepage says he was at the Allen Institute for AI from 2019 to 2025.

Research scientist at Google DeepMind working on Gemini Code and natural language to code generation; previously a Ph.D. student at Carnegie Mellon University's Language Technologies Institute.

Satyapriya Krishna recently completed a Ph.D. at Harvard SEAS on machine learning explanations and describes past work spanning Amazon, Google DeepMind, and Meta FAIR. Public report authorship also links him to Amazon's frontier model safety work, but his current employer is not clearly stated.

Jakub "Jake" Poznanski identifies himself on his personal site as a Carnegie Mellon computer science graduate and describes leading an OCR toolkit on GitHub.

Hanjun Dai is a Research Scientist at Google DeepMind working on large-scale robot learning, robot foundation models, and multimodal foundation models.

Pradeep Dasigi is a research scientist on the AllenNLP team at Ai2. His homepage says he has been actively involved in OLMo and Tulu and currently focuses on post-training language models.

Xiang Kong's public homepage says he is a machine learning researcher at Apple and that he received his PhD from the School of Computer Science at Carnegie Mellon University.

NVIDIA's public author page identifies Igor Gitman as an applied scientist focused on improving the mathematical reasoning abilities of large language models and as a maintainer of NeMo-Skills.

Amanda Bertsch is a Ph.D. student in the Language Technologies Institute at Carnegie Mellon University. Her research focuses on making language models faster and more memory efficient at test time and improving performance on very long contexts.

Aengus Lynch

William Saunders

Andy Zou

Sanjiv Kumar

Ke Ye

Kanishka Rao

Xin Hu

Sanjiv Kumar

Yuning Mao

Rulin Shao

Abhinav Khattar

Pengcheng Yin

Da-Cheng Juan

Yao Lu

Bhuwan Dhingra

Chufan Gao

Yifei Qu

Chunting Zhou

Haoqi Fan

Yulun Du

Jesse Dodge

Pengcheng Yin

Satyapriya Krishna

Jake Poznanski

Hanjun Dai

Pradeep Dasigi

Xiang Kong

Igor Gitman

Amanda Bertsch