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.
Nick REYNOLDS is an Industry Process Consultant Director in North America at Dassault Systèmes. He has a background in Materials Science, with a Ph.D. in Polymer Science and Engineering. Nick’s and his team’s role is in providing scientific and technical support for Dassault Systèmes’ customers in adopting our solutions for computational materials science, formulation management, laboratory informatics, and data science, across a range of industries.
Kevin Price is a seasoned professional with over 15 years of experience in geology, industrial minerals, and energy and materials industry processes. As a Senior Technical Executive at Dassault Systèmes, he drives innovative solutions in the Energy & Materials Industry Process sector. Kevin holds a Bachelor of Science in Geology from Florida State University and an Associate of Arts in Computer Art from Miami Dade College, blending technical expertise with creative insight.