Our Speaker
Driving Innovation in Food Formulation and Packaging Development with Materials Simulation, Data Modeling, and Lab Informatics
Abstract:
From ingredient performance to material stability, food and beverage companies face complex challenges in developing new formulations and packaging solutions. Achieving the right balance of taste, texture, shelf life, and sustainability requires advanced tools that go beyond traditional trial-and-error methods. Computational materials science accelerates the discovery of novel food ingredients and packaging materials through virtual screening, reducing costly physical testing. A unified lab informatics system enhances efficiency, fosters collaboration, and unlocks the full potential of existing data. Predictive analytics and machine learning further optimize formulation design by guiding material selection, predicting stability, and improving performance outcomes. This presentation explores how integrating virtual and real materials labs is transforming food product and packaging innovation, enabling faster, smarter, and more sustainable R&D.