Learning across the boundary between code and machines.

Current direction

Build strong engineering fundamentals first, then use software and data where they improve understanding, quality or decision-making.

Working principles

• Evidence before presentation.
• Understand the physical system before modelling it.
• Document the failed path as carefully as the successful one.
• Keep private learning separate from public proof.

Foundation

Information Technology, early agricultural intelligence work through Apollo Phase I, and a continuing interest in systems that connect computation to the physical world.

Public contact

For research correspondence, contact g.anuja@chatakeinnoworks.com. Her public researcher profiles are linked from the homepage.