Wei-Ning Chen

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

Summary Foodborne illness and avoidable food waste both depend on decisions about how microorganisms behave in a food. Machine-learning (ML) models can achieve strong predictive accuracy within a defined data domain, but a held-out test error alone does not establish reliability for food-safety decisions. Conventional...