Multimodal Large Language Models | Field

Research scientist focused on machine learning and natural language understanding, with work spanning machine translation, semantic parsing, and large-scale language modeling.

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.

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

Ksenia Konyushkova is a research scientist at Google DeepMind in London working on computer vision and embodied AI. Before DeepMind, she co-founded Microverses and held postdoctoral roles at Imperial College London and UC Berkeley. She earned her PhD from EPFL under Pascal Fua.

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

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.

Yuchen Ge is a research scientist at Google DeepMind whose work focuses on vision-language models and multimodal machine learning.

Research scientist at Mistral AI working on natural language processing and large language models; previously an assistant professor at MIT.

Research scientist at Mistral AI in Paris focused on multimodal and embodied AI. His public homepage lists prior research roles at Google DeepMind and Meta AI.

Jiahui Yu is a research scientist at Google DeepMind working on multimodal learning and large language models.

Researcher at DeepSeek AI working on decision-making and post-training for large language models.

Armand Joulin is a research scientist at Google whose work spans natural language processing, machine learning, deep learning, and computer vision.

Pablo Sprechmann is a research scientist at Google DeepMind whose work spans representation learning, reinforcement learning, and machine learning for football tactics. Before DeepMind, he was a postdoctoral researcher at New York University working with Yann LeCun. He previously completed doctoral research under Guillermo Sapiro.

Researcher at Alibaba Group exploring the math and science of large language models; incoming assistant professor at Nanyang Technological University.

Research scientist at Meta AI focused on vision-language models, large language models, and agents; public work includes the multimodal foundation model Chameleon.

Jun-Hyuk Ahn is a Research Scientist at Mistral AI working on multimodal and video generation models. Previously he was a research engineer at DeepMind, where his public work focused on generative models and world models.

Karen Simonyan is VP of Research at Google DeepMind in London, where he leads the multimodal generative AI team. He is known for major contributions including the VGG network and work spanning systems such as AlphaGo, WaveNet, AlphaStar, and Gemini.

Research intern at DeepSeek and undergraduate student at Tsinghua University focusing on multimodal large language models, agents, and embodied AI.

Research intern at DeepSeek and master's student at Tsinghua University working on large language models, reinforcement learning, and multimodal understanding and generation.

Armand Joulin is a researcher and the cofounder and chief scientist of Mistral AI. Public arXiv records also list him as an author of LLaMA: Open and Efficient Foundation Language Models.

Jaehoon Lee is a researcher at Google DeepMind. His work covers practical and foundational aspects of large language models, together with deep learning theory and reinforcement learning.

Corey Lynch is a research scientist at Google DeepMind working on embodied AI and robotics. He previously cofounded Ikonos.

Jonathan Tompson is a research scientist working on robotics, perception, and embodied AI. His public profile highlights work on computer vision, simulation, reinforcement learning, and robot intelligence.

Software engineer at Google DeepMind working on model architecture and engineering for general-purpose language models.

Research scientist at Google DeepMind working on multimodal medical AI and personalized health applications.

PhD student at UC San Diego researching reasoning, planning, and multimodal foundation models; publication context connects Jinghong Yuan to Janus-Pro.

Research scientist at Meta working on computer vision and multimodal foundation models with an emphasis on robustness, trustworthiness, and alignment.

Jiaxuan Fan is a machine learning researcher at DeepSeek. Her interests include data-centric AI, model efficiency, and multimodal learning.

Generative AI Research Scientist at Meta and founder of Baobab AI Labs, with work spanning multilingual models, open-source LLMs, machine translation, and story generation.

AI researcher whose public work includes large language models, vision-language models, and multimodal systems. His public profile notes prior work as a senior algorithm expert at Alibaba and co-authorship of Qwen technical reports.

Research Scientist at Google DeepMind in London working on large multimodal models, evaluation, agents, and computer vision; he completed a PhD at the University of Tuebingen and MPI for Intelligent Systems.

Julian Schrittwieser is a Google DeepMind researcher known for reinforcement learning and game-playing systems.

Mike Lewis is a natural language processing researcher whose public work includes multimodal language modeling and large-scale pretraining.

Research intern at DeepSeek and PhD student at Carnegie Mellon University interested in machine learning, agents, language, vision, robotics, and healthcare.

Research intern at DeepSeek and undergraduate student at Tsinghua University working on vision-language models, inference-time scaling, and reinforcement learning.

Research intern at DeepSeek and PhD student at Shanghai Jiao Tong University working on large language models, reasoning, agents, and reinforcement learning.

Alaaeldin El-Nouby is a machine learning researcher whose public work includes multimodal and vision-language models.

Christopher Pal is a professor and AI researcher whose public work spans deep learning, multimodal learning, and large language models.

External advisor at DeepSeek and former Corporate Vice President and Chief Scientist at Microsoft Research Asia.

Michael Uthus works on frontier model safety and evaluation at Google DeepMind.

Piotr Padlewski is a researcher working on efficient language and multimodal models, with publications including Gemma 3n and EdgeMark.

Machine learning researcher at Google DeepMind focused on multimodal foundation models and post-training.

Research scientist at Meta AI focused on multimodal and embodied AI, with interests in computer vision, deep learning, and decision making.

Research scientist at Mistral AI whose homepage highlights work on large language models, agents, multimodal understanding, and scaling.

Jie Zhou is a Moonshot AI contributor and co-author of Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Researcher at OpenAI working on reasoning and scalable oversight, with prior work on chain-of-thought prompting, instruction tuning, and aligning language models with human preferences.

Khaled Saeed is a Research Scientist at Meta working on efficient multimodal reasoning and AI systems.

Saswato R. Das is a postdoctoral researcher at Mistral AI working on computer vision and multimodal foundation models.

Senior Research Scientist at Google DeepMind working on Gemini, embodied AI, and multimodal foundation models for robotics and perception.

Research engineer focused on large-scale machine learning and AI systems. He has worked at OpenAI and publishes writing and projects on his personal website.

Louis Martin is a scientist at Meta AI and a PhD student at McGill University and Mila. His research spans natural language processing and machine learning.

Research scientist at Google Research whose public work spans multilingual and large-scale language modeling; arXiv author results include the PaLM paper.

Research scientist at Google DeepMind in London working on agentic reasoning, efficient inference, and large-scale post-training, with a background in high-dimensional statistics and theory.

Senior Staff Research Scientist at Google DeepMind and CTO of the Gemini app, with work spanning speech, language, vision, and large-scale AI systems.

Research scientist at Google DeepMind working on large language models in London. His public site lists interests in efficient inference, evaluation, multi-agent systems, and interpretability, and notes earlier work on code intelligence at Graphcore.

Research scientist at Meta working on machine learning, with interests in generative AI, multimodality, and helping models develop world understanding.

Research scientist at Google DeepMind working on general robotic intelligence, robot learning, and real-world datasets for improved robot dexterity and understanding.

Research scientist at Meta whose interests include natural language processing, multimodal AI, social computing, and computational social science.

Research engineer at Google DeepMind focused on large language models, long-context systems, and efficient inference; previously worked on speech and generative models.

Faisal Azhar is a PhD candidate in computer science at Stanford University. His work focuses on multimodal systems that unify text, image, and speech, together with efficient training and inference for large-scale machine learning.

Fang Xia is a Research Scientist at Google DeepMind working on bringing AI into the physical world through robotics and embodied intelligence.

Myungjae Ahn is a postdoctoral researcher at Google DeepMind whose work focuses on multimodal AI, including language, speech, vision, and robotics.

Research scientist at Google DeepMind and co-founder of Waypoint, working on robot learning.

Rishabh Kabra is a research scientist at Google DeepMind. His public homepage highlights work on machine learning systems and large-scale language model research.

Researcher focused on reinforcement learning, large language model reasoning, and multimodal foundation models; coauthor of Janus-Pro and MiniMax-M1.

Research scientist at Google DeepMind working on multimodal large language models and efficient language modeling.

Google researcher whose publications include the Gemma 3n technical report.

Senior AI research scientist at Meta and affiliate researcher at MIT working on computer vision and machine learning.

Google researcher whose publications include the Gemma 3n, Gemma 3, and Gemma 2 technical reports.

Anelia Angelova works on robotics, computer vision, and machine learning, and her public bio notes more than four years at Google DeepMind before becoming VP of AI at Humane.

Professor of computer science at Columbia University whose public research focuses on computer vision, video understanding, robotics, and machine learning.

Research Scientist at Mistral AI whose work spans language models and multimodal systems; previously held research roles at Meta and DeepMind.

Researcher at Google DeepMind with public publications on language modeling, multimodal systems, and speech generation, including Gemma 3n, CT5, and ELLA.

Computer scientist known for work in computer vision, machine learning, and human-centered AI.

Google researcher whose publications include the Gemma 3n technical report.

Research scientist at FAIR working on multimodal systems.

Computer scientist at Carnegie Mellon University whose work spans machine learning, natural language processing, and human language technologies. His public homepage lists recent work including Pixtral and collaborations with Mistral AI.

Chief scientist at Mistral AI whose work focuses on variational methods, generative models, diffusion, and large language models.

Research scientist at Mistral AI focused on multimodal representation learning, multimodal language models, and efficient inference; previously worked at Google and DeepMind.

Researcher working on multimodal and large language models, including Gemma 3n.

Professor in computer science and engineering at the University of Washington, scientist at the Allen Institute for Artificial Intelligence, and co-director of the UW NLP group.

Research scientist at Meta working on multimodal reasoning, vision-language models, multimodal generation, and compression. His homepage highlights a background spanning machine learning, computer vision, and NLP.

Research scientist at Google DeepMind focused on scaling frontier models and advancing the Gemma family of open models.

Research scientist at Google DeepMind interested in reasoning and multimodal understanding in machine learning and AI systems.

Research scientist at Google DeepMind whose work spans sequential decision making, multiagent systems, and responsible AI.

Rogerio Feris is an AI researcher at Mistral AI. His work spans computer vision, multimodal AI, distributed machine learning, and AI systems.

Saurav Belkhale is a researcher at Google DeepMind working on dexterous robot manipulation at the intersection of control, computer vision, and machine learning.

Vice president of GenAI at Microsoft AI and a long-time machine learning researcher known for work on the foundations of reinforcement learning and bandits.

Researcher working on multimodal foundation models, including Gemma 3n.

Szymon Migacz is a software engineer at Mistral AI working on large-scale AI systems, with prior experience at NVIDIA.

Research scientist at Google DeepMind working on large language models, machine translation, and natural language processing.

Research scientist at Meta working on embodied AI, robotics, and reinforcement learning.

Research scientist at Meta whose public work covers embodied AI, language agents, and multimodal systems; his arXiv author results include the Chameleon multimodal model paper.

Senior research scientist at Mistral AI working on domain knowledge, factuality, efficiency, and personalization in large language models.

Staff research scientist at Google DeepMind in Mountain View working on multimodal language model pretraining and post-training.

Zhitao Ying is a Research Scientist at Google DeepMind.

Radu Soricut

Jifeng Dai

Asterios Katsamanis

Ksenia Konyushkova

Sebastian Gehrmann

Hao Yang

Yuchen Ge

Yoon Kim

Lechao Xiao

Jiahui Yu

Huazuo Gao

Armand Joulin

Pablo Sprechmann

Mingze Li

Chenguang Zhu

Jun-Hyuk Ahn

Karen Simonyan

Xiangkun Wang

Zezhou Wang

Armand Joulin

Jaehoon Lee

Corey Lynch

Jonathan Tompson

Lewis Houghton

Vivek Natarajan

Jinghong Yuan

Nicholas Crane

Jiaxuan Fan

Angela Fan

Binyuan Hui

Matthias Minderer

Julian Schrittwieser

Mike Lewis

Xiaoze Liu

Xinyu Li

Zhihuan Liu

Alaaeldin El-Nouby

Christopher Pal

Hongxia Yang

Michael Uthus

Piotr Padlewski

Sami Stigzelius

Srujana Merugu

Xiaodong Zhang

Jie Zhou

Jason Wei

Khaled Saeed

Saswato R. Das

Fei Xia

David Dohan

Louis Martin

Orhan Firat

Sebastian Borgeaud

Vincent Vanhoucke

Adam Casson

Amjad Almahairi

Andy Brohan

Azade Nova

Dylan Cope

Faisal Azhar

Fang Xia

Myungjae Ahn

Peter Florence

Rishabh Kabra

Shang Yang

Xiangyu Yue

Abhijit Guha Roy

Alberto Mario Cadeddu

Aleks Hartholz

Anelia Angelova

Carl Vondrick

Denis Kocisky

Elizabeth Cole

Fei-Fei Li

Frederik Ebert

Geneviève Dorkenwald

Graham Neubig

Jascha Sohl-Dickstein

Jon Lamprecht

Kira Radinsky