My research focuses on the computational formalisation of expert knowledge — building representations that make implicit expertise explicit, computable, and interpretable.

Building on doctoral work (funded by A*STAR ACIS Scholarship) in combinatorial creativity and knowledge recombination at Singapore Management University and A*STAR Institute of High Performance Computing, I have developed a knowledge representation architecture grounded in Schank’s CD Theory. I am extending this into neurosymbolic AI: CD Theory primitives provide intrinsically interpretable representations of actions, causation, and state change — addressing the explainability gap that post-hoc methods only approximate.

A second line of work concerns decision support under systemic risk. I developed a System Dynamics model of national food availability for Singapore’s Interministerial Committee on Food Security, and work with JAPFA to formalise operational expert knowledge for pig farm biosecurity and animal health management. Current research investigates agentic AI workflows for automating the translation from causal loop diagrams to formal stock-and-flow models.