People
People in machine-learning theory
36 people in the USASI People directory whose profiles list machine-learning theory as a field of their work. Listed alphabetically; this is not a ranking. Each profile covers public professional work only, cited to official pages.
Abhimanyu Das
Principal Research Scientist, heading work on predictive models for structured data, Google
Google Principal Research Scientist leading structured-data models such as TimesFM; TimesFM paper first author
Albert Gu
Assistant Professor, Machine Learning Department; leads the Goomba Lab, Carnegie Mellon University
Co-author of Mamba and first author of S4; CMU assistant professor and Cartesia co-founder
Alex Graves
Author affiliated with Google DeepMind on the 2016 Nature paper on the differentiable neural computer, Google DeepMind
First author of Neural Turing Machines and of the Google DeepMind differentiable neural computer paper
Alex Smola
CEO and Co-Founder, Boson AI
Co-founder and CEO of Boson AI; co-author of Dive into Deep Learning; former VP at AWS
Anima Anandkumar
Bren Professor of Computing and Mathematical Sciences, California Institute of Technology
Bren Professor at Caltech; Fourier Neural Operator co-author; former NVIDIA senior director of AI research
Beren Millidge
Co-founder and Chief Scientist, leading the technical teams, Zyphra
Co-founder and Chief Scientist of Zyphra; senior author of the Zamba, Zamba2 and Zamba2-VL reports
Cho-Jui Hsieh
Associate Professor of Computer Science, University of California, Los Angeles
UCLA associate professor of computer science; co-author of the LAMB and Lion optimizer papers
Christopher Bishop
Technical Fellow and founder of Microsoft Research AI for Science, Microsoft Research
Microsoft Technical Fellow, founder of Microsoft Research AI for Science, and machine learning textbook author
Daphne Koller
Founder & CEO, Board Member, insitro
Founder and CEO of insitro, Coursera co-founder, and Stanford adjunct professor of computer science
Diederik P. Kingma
Research on large-scale machine learning (2024–current), Anthropic
Researcher at Anthropic; first author of the Variational Autoencoder and Adam optimizer papers
Fabian Pedregosa
Research scientist, Gemini Core team, Google
Research scientist at Google on the Gemini Core team; led scikit-learn's first public release in 2010
Geoffrey Hinton
Emeritus distinguished professor, University of Toronto
2024 Nobel laureate in Physics; University of Toronto emeritus professor and former Google Vice President
James McCaffrey
Microsoft Research staff (per the August 2019 MSDN Magazine author bio), Microsoft Research
Software engineer and longtime MSDN Magazine Test Run columnist; worked for Microsoft Research
Jascha Sohl-Dickstein
Member of Technical Staff, Anthropic
Member of Technical Staff at Anthropic; first author of the 2015 paper that introduced diffusion models
Jeff Clune
Professor, Computer Science, University of British Columbia
UBC professor and Recursive co-founder; former OpenAI research manager and Senior Research Advisor to DeepMind
John Duchi
Associate Professor of Statistics and Electrical Engineering, Stanford University
Stanford associate professor of Statistics and Electrical Engineering; first author of the Adagrad paper
John Langford
Partner Researcher Manager, Microsoft Research
Partner Researcher Manager at Microsoft Research; principal developer of Vowpal Wabbit
Josh Starmer
Creator, StatQuest
Creator of StatQuest, videos and illustrated books explaining statistics, machine learning, and AI
Kenneth Stanley
SVP of Open-Endedness, Lila Sciences
SVP of Open-Endedness at Lila Sciences; former Open-Endedness Team Leader at OpenAI and creator of NEAT
Lorenzo Stella
Computer scientist, Amazon Web Services
AWS computer scientist; second author of Chronos and a co-author of GluonTS and Chronos-2
Martín Abadi
At Google since November 2014, Google
At Google since 2014; first author of the TensorFlow papers; emeritus at UC Santa Cruz
Mathieu Blondel
Research scientist, Google DeepMind
Research scientist at Google DeepMind; former lead developer of JAXopt and former scikit-learn core developer
Michael Collins
Research scientist, Google
Natural language processing researcher and research scientist at Google; former MIT faculty member
Michael I. Jordan
Directeur de Recherche, Inria and École Normale Supérieure
Co-author of the Ray and latent Dirichlet allocation papers; UC Berkeley Distinguished Professor Emeritus
Mido Assran
Scientist and Member of Technical Staff, founding team, Advanced Machine Intelligence
Scientist at Advanced Machine Intelligence (AMI); first author of V-JEPA 2 and I-JEPA from Meta FAIR
Pascal Vincent
Research Scientist, Fundamental AI Research (FAIR), Meta
Research scientist in Meta's FAIR team; first author of the stacked denoising autoencoders paper
Rajeev Rastogi
Vice President, Machine Learning at Amazon India, Amazon
Vice President, Machine Learning at Amazon India; previously vice president at Yahoo Labs
Razvan Pascanu
Research Scientist, DeepMind
Research Scientist at DeepMind; contributor to Theano and first author of a study of RNN training difficulties
Robert Tibshirani
Professor of Biomedical Data Science and of Statistics, Stanford University
Stanford statistician; co-author of glmnet, Least Angle Regression and The Elements of Statistical Learning
Roy Frostig
Research scientist, Google DeepMind
Co-author and core developer of JAX; research scientist at Google DeepMind
Sébastien Bubeck
Listed with an OpenAI affiliation on the November 2025 paper "Early science acceleration experiments with GPT-5", OpenAI
OpenAI author on gpt-oss and GPT-5 science work; earlier a Microsoft GenAI vice president and Phi co-author
Shane Legg
Co-Founder and Chief AGI Scientist, Google DeepMind
Co-founder and Chief AGI Scientist of Google DeepMind; leads its AGI Safety Council
Stefano Ermon
CEO, Inception
CEO of Inception, developer of Mercury diffusion LLMs; Associate Professor of Computer Science at Stanford
Trevor Hastie
The John A. Overdeck Professor, Professor of Statistics, Professor of Biomedical Data Science, Emeritus, Stanford University
Maintainer of the glmnet package and co-author of The Elements of Statistical Learning; Stanford emeritus
Yang Song
Research Principal, Meta Superintelligence Labs
Research Principal at Meta Superintelligence Labs; first author of the score SDE and consistency models papers
Yann LeCun
Executive Chairman, Advanced Machine Intelligence
Executive Chairman of AMI Labs and NYU professor; former Chief AI Scientist at Meta and co-author of V-JEPA 2
Support Us
Help keep USASI useful.
Optional. No USASI account required. Payment takes place on the linked provider’s website (Buy Me a Coffee).
About supporting this project