Team
Principal Investigator and advisory domains.
Principal Investigator
Michael Brandon Lane
Michael Brandon Lane leads the Lane Vector research program, focusing on physics-informed neural networks for prediction and dynamical systems, stiff-PINN architectures, and equation discovery via Kolmogorov-Arnold Networks. The work is conducted through Golden Goose Tools in Tennessee.
Research profile available via ORCID link above.
Advisory board
An advisory board is being assembled in key domains to support the research program:
- PINN architecture and physics-informed machine learning
- Stiff ODE methods and numerical integration
- Symbolic regression and equation discovery
- Behavioral science and intent modeling
- Information retrieval theory
For collaboration or advisory inquiries, use the Contact page.