Apple Intelligence Foundation Language Models

Research scientist at Apple working on efficient and multilingual language modeling, speech and language systems, and large language models.

Research scientist at Apple Intelligence working on computer vision, machine learning, and natural language processing.

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.

Co-author of MM1, which studies multimodal LLM pre-training.

Public profiles and publications link Ruoming Pang to speech, language, and multimodal model research. Reuters reported on February 25, 2026 that OpenAI hired him from Meta.

Researcher and engineer working on machine learning, software, and hardware systems.

Sonal Gupta is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Apple researcher whose publications include the Apple Intelligence Foundation Language Models technical report.

Tim Dettmers is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Florian Schroff is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Tomas Pfister is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Machine learning researcher whose work spans neural networks and statistics, and a co-author of Apple's Foundation Language Models report.

Wojciech Zaremba is listed as an author of the Apple technical reports Apple Intelligence Foundation Language Models and Apple Intelligence Foundation Language Models: Tech Report 2025.

Xi Chen is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

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.

Anand Avati is a PhD candidate at the Stanford AI Lab. His homepage says he is the technical lead of the AI-Enabled ACP project deployed at Stanford Hospital, has served as principal instructor of Stanford's CS229 course, and previously was a distinguished engineer in Red Hat's CTO office after joining through the acquisition of Gluster, where he was a founding engineer and lead architect of GlusterFS.

Sharad Bhat is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Oluwatobi "Tobi" Oladipo is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Tim Cooijmans is a research scientist at Apple. His personal site says he previously worked as a research scientist at Google DeepMind and as a postdoctoral researcher at Mila, and that his interests include machine learning, generative modeling, and reinforcement learning.

Yi Tay is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Hamid Palangi is listed as an author of the Apple technical report Apple Intelligence Foundation Language Models.

Senior research scientist at Apple with public publications spanning speech, audio, and language modeling, including work on speech language models and MemoryLLM.

Aakanksha Chowdhery is an adjunct professor at Stanford and a researcher at Reflection AI working on agentic LLMs and reinforcement learning for self-improving agents. Her homepage says she previously led work on the 540B PaLM model and Gemini at Google, earlier led interdisciplinary research initiatives at Microsoft Research and Princeton University, and completed a PhD in electrical engineering at Stanford University.

Karan Singhal leads the Health AI team at OpenAI. His homepage says he works on LLMs for health and AI safety, with goals that include universalizing access to medical expertise, using health as a testbed for safety, and developing better plans for high-stakes AI deployment. The same page says his previous Google work included Med-PaLM and Med-PaLM 2.

Canonical link

Floris Weers

Tom Gunter

Xiang Kong

Mark Lee

Ruoming Pang

Awni Hannun

Sonal Gupta

Yash Jernite

Tim Dettmers

Florian Schroff

Tomas Pfister

Sergey Ioffe

Wojciech Zaremba

Xi Chen

Ke Ye

Anand Avati

Sharad Bhat

Oluwatobi "Tobi" Oladipo

Tim Cooijmans

Yi Tay

Hamid Palangi

Soroosh Mariooryad

Aakanksha Chowdhery

Karan Singhal