Elgin Ee Lin Yap

Beyond predictive accuracy: A case for mechanism-informed, uncertainty-aware machine learning in food microbiology

This work outlines four hybrid design patterns and proposes a food-specific validation framework that includes context-relevant external validation, calibrated predictive uncertainty, and decision-focused evaluation for food-safety decisions.