Jeffrey S. Seely

Current

Research scientist at sakana.ai 🗼

Previous

• Research scientist at Meta
• Lead scientist at CTRL-labs (acquired by Meta)
• PhD in Theoretical Neuroscience, Columbia University Neurotheory

Papers

Recent papers worth reading:

• 2026 Augmented Lagrangian Predictive Coding Jeffrey Seely, Julian Gould·preprint arXiv
• 2026 Learning Multi-Agent Coordination via Sheaf-ADMM Jeffrey Seely, Bartłomiej Cupiał, Llion Jones·ICML 2026 arXiv GitHub Sakana AI blog
• 2025 Sheaf Cohomology of Linear Predictive Coding Networks Jeffrey Seely·NeurReps @ NeurIPS 2025 arXiv GitHub

Full publication list.

Contact

jeffrey [at] jsseely.com

Elsewhere

Twitter · GitHub · Scholar · LinkedIn