Hybrid Modeling and Intensified DoE Enabling Faster Process Development, Soft Sensors and Model Predictive Control

Presented at: BioProcessing 2020
C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • CEO Novasign GmbH, Project Lead BOKU - Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna
    Biography
      With more than 10 years of experience, Mark is a passionate expert in the field of biopharmaceutical process development. He worked together with several Top25 Pharma companies in different projects targeting their needs in process development and understanding. Together with his team, he is developing a hybrid modeling software for both up and downstream processes. This software utilizes AI applied to process data and first principle models (hybrid models) to quickly predict critical quality attributes (CQAs) from critical process parameters (CPPs). Hereby, bioprocess development and characterization are accelerated significantly while simultaneously a better process understanding is gathered. From this research project, the company Novasign was founded in 2019 offering this unique software solution.

    Abstract

    Within this talk the advantages of using intensified Design of experiments (iDoE) in combination with hybrid modeling will be demonstrated. In detailed upstream and downstream showcases the applied hybrid modeling structure significantly reduced the development times while simultaneously enabled the application of soft-sensors and digital twin to screen for ideal process conditions. While the downstream hybrid model could be used for different operation modes and simple model predictive control, the upstream iDoE approach reduced the experimental effort by 66%, significantly reducing development costs.

    Learning Objectives:

    1. Faster Drug Development by modeling along the whole value chain

    2. Hybrid Modeling to strengthen bioprocess understanding

    3. intensified Design of Experiments to speed up process characterization


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