Atlas / Schools / Detail
Massachusetts Institute of Technology
Researchers in the public atlas with this school in their educational path.
Hyung Won Chung
Google Gemini / OpenAI
Research Scientist at OpenAI focused on reasoning and agents. Previously at Google Brain, he worked on T5X, PaLM, Flan-PaLM, and Flan-T5, and he earned a PhD at MIT.
Ji Lin
Apple
Ji Lin is a research scientist at OpenAI working on multimodal models, reasoning, and synthetic data. He previously completed his Ph.D. and M.Sc. in EECS at MIT under Song Han, earned a B.Eng. in Electronic Engineering from Tsinghua University, and has interned or worked at Adobe Research, OmniML, and NVIDIA Research.
Luke Zettlemoyer
Google Gemini
Luke Zettlemoyer is a professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington and a Senior Research Director at Meta FAIR. His research focuses on empirical methods for natural language semantics, machine learning for language understanding, and self-supervision for pre-training; he studied at NC State, earned his Ph.D. from MIT, and was a postdoctoral researcher at the University of Edinburgh.
Marzyeh Ghassemi
Apple
Marzyeh Ghassemi is the Germeshausen Career Development Professor and an associate professor in electrical engineering and computer science and the Institute for Medical Engineering and Science at MIT, and a CIFAR AI Chair at the Vector Institute. MIT says she joined MIT in July 2021 after serving as an assistant professor at the University of Toronto in computer science and medicine and as a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. MIT also lists a PhD in computer science from MIT, an MSc in biomedical engineering from Oxford University, and bachelor's degrees in computer science and electrical engineering from New Mexico State University.
Carl Vondrick
Anthropic
Carl Vondrick is an Assistant Professor of Computer Science at Columbia University and a researcher at Apple whose work spans computer vision, machine learning, and multimodal systems. He previously worked as a research scientist at Google and a visiting researcher at Cruise, completed his PhD at MIT in 2017 after a BS at UC Irvine, and coauthored Anthropic interpretability work such as Tracing the thoughts of a large language model.
Luke Zettlemoyer
Ai2
Luke Zettlemoyer works on empirical methods for natural language semantics, machine learning, new tasks and datasets, and self-supervision for pre-training.
Anna Goldie
Anthropic
Founder and CEO of Ricursive Intelligence, a frontier AI lab targeting chip design; previously a Senior Staff Research Scientist at Google DeepMind and an early employee at Anthropic.
Grace Lam
NVIDIA
OpenReview lists Grace Lam as a researcher at NVIDIA after prior work at Google, with study at Stanford and MIT. NVIDIA public pages connect her to Cosmos Policy for robot control and Nemotron-Cascade 2 for LLM post-training.
Matt Jordan
Ai2
Public profiles identify Matt Jordan as an Allen Institute for Artificial Intelligence researcher and a former University of Texas at Austin PhD student advised by Alex Dimakis.
Shannon Zejiang Shen
Ai2
Shannon Zejiang Shen is a PhD student at MIT CSAIL researching collaborative AI systems that augment human intelligence.
Arka Dhar
OpenAI
Public bios identify Arka Dhar as Product Management Director at Google DeepMind and former Head of Data at OpenAI. OpenAI contribution pages list him among contributors to GPT-4o-era model work.
Josh Batson
OpenAI
Joshua Batson leads a team at Anthropic focused on mechanistic interpretability. MIT's SDSCon speaker page also notes earlier work on viral genomics and computational microscopy at the Chan Zuckerberg Biohub and an MIT Ph.D. in pure mathematics.
Luyao Yuan
Meta AI
Luyao Yuan is a research scientist at FAIR at Meta. Her homepage says her research aims to build AI systems that can see, learn, reason, and interact like humans, and that she completed a PhD in EECS at MIT advised by Antonio Torralba after earlier research with Song Han at MIT and Jiajun Wu at Stanford.
Lucas Liebenwein
NVIDIA
Works on high-performance LLM inference and AutoDeploy at NVIDIA; previously led efficient-AI work at OmniML and earned graduate degrees at MIT CSAIL.
Shayne Longpre
Ai2
Shayne Longpre's public profiles identify him as a PhD candidate at MIT focused on data-centric AI, language models, and their societal impact.