17: How Extracting Gold From Your Data Accelerates Process Development w/ Ioscani Jiménez del Val - Part 1
Smart Biotech Scientist | The CMC and Bioprocessing Podcast for Process Development and Manufacturing Leaders
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Join us as we unravel the complexities of computational methods in bioprocessing, featuring cutting-edge research on glycosylation and process development.
Ioscani Jiménez del Val, Assistant Professor at the School of Chemical & Bioprocess Engineering, University College Dublin, explores the intricacies of creating computational models, closing the loop, and optimizing with numerical methods.
Discover the two broad flavors of modeling – kinetic and metabolic models – and how they contribute to understanding cellular processes in bioreactors.
Key Learnings:
- Closed Loop Optimization: Learn how closing the computational loop enhances model robustness, generating experimental data to refine kinetic parameters.
- Modeling Variety: Explore different computational models, including kinetic models, metabolic models, and the rising trend of data-driven approaches for efficient bioprocess monitoring.
- Hybrid Modeling: Uncover the power of hybrid models, combining mechanistic and data-driven approaches for a comprehensive understanding of your production process.
Experience the journey of innovation as we explore how the revolutionary process of extracting valuable insights from your data is transforming the field of bioprocessing. Tune in now for an enlightening conversation with our esteemed expert guest.
Contact Ioscani Jiménez del Val:
Twitter: @UcdCell
LinkedIn: https://www.linkedin.com/in/ioscanij
