George Stein
Senior Machine Learning Scientist at Layer 6 AI
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolGeorge Stein is a Senior Machine Learning Scientist and Research Lead based in Vancouver with nine years of experience translating academic-grade ML into production impact for financial services. At Layer 6 AI / TD he manages a team driving timeseries foundation models and GenAI research for long-term strategic products. His background includes postdoctoral work at UC Berkeley and Berkeley Lab where he assembled a 75M-image dataset, led self-supervised and generative-model advances, and published peer-reviewed results that improved classification and time-series metrics substantially. He has a PhD in Astrophysics and a track record of engineering high-performance ML systems—building GPU-accelerated pipelines, a 10,000x neural network emulator, and winning a blind anomaly-detection challenge on extremely rare events. Colleagues know him for blending rigorous scientific methods with pragmatic deployment, and for scaling research teams to turn novel models into bank-ready solutions.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Honours Physics & Astronomy, With Distinction, Bachelor's degree, Honours Physics & Astronomy, With Distinction at The University of British ColumbiaDoctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at University of Toronto
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (44)
cosmology10
machine-learning10
lifecycle9
artificial-intelligence9
lightning9
pytorch9
python9
stylegan9
bayesian-methods9
deep-learning8
ada8
probabilistic8
generative-adversarial-network8
ai8
infrastructure8
Programming languages (2)
Github contributions (5)
georgestein/ml-in-cosmology
Dec 2018 - Jul 2022
A comprehensive list of published machine learning applications to cosmology
Contributions:1 release, 1 review, 99 commits in 3 years 8 months
cosmologypublishedcomprehensivemachine-learning
layer6ai-labs/dgm-eval
Jun 2023 - Mar 2025
Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Contributions:2 reviews, 4 PRs, 10 pushes in 1 year 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.