Versatile Modeling Frameworks for Food System Innovation
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I develop adaptable modeling frameworks combining machine learning, kinetics, and physics-informed simulations to solve complex food science problems—from shelf-life prediction to structure formation—applicable to microbial growth, fluid dynamics, and quality control.
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