AI & ML interests

multimodal learning, embodied intelligence, edge AI, field robotics, computer vision, language interfaces, AI safety, agriculture

Recent Activity

Organization Card

Sinuosity Physical Intelligence Lab

Building intelligence for the physical world.

Sinuosity is an AI research lab developing systems that perceive, reason, and act under real-world constraints. Agriculture is our first proving ground.

Research directions

  • Field foundation models — multimodal systems built from real field conditions.
  • Embodied intelligence — agents that connect perception, reasoning, and action.
  • Edge and offline AI — useful intelligence where connectivity and compute are constrained.
  • Language and human interfaces — tools that make complex systems legible and usable.
  • Safety and real-world evaluation — evidence, limitations, and failure modes before deployment.

Open research

Models, datasets, and code will be published here with clear documentation covering provenance, intended use, licensing, limitations, and evaluation.

Website · Research · Open research