Fundamentals, Big Data, Machine Learning and High-throughput screening for Bioseparations

This session will cover topics in all areas of fundamentals, modeling, machine learning and big data in the field of bioseparations. Contributions that highlight one or more of the following important aspects of bioseparations are invited: areas related to experimental and theoretical studies as well as novel methodologies in systems used for bioseparations, new modeling methodologies and the application of existing methodologies to better understand the behavior of bioseparation systems, utilizing machine learning, big data, and data science to improve separation efficiency, process productivity, reliability, and control in the field of bioseparations.