In part 2 of this interview with Ioscani, Assistant Professor at the School of Chemical & Bioprocess Engineering, University College Dublin, we delve into the art and science of accelerating process development through the strategic extraction of valuable insights from data.Our guest, a seasoned expert in computational modeling, unfolds the intricate dance between quality by design principles and data-driven approaches.Key takeaways from this insightful conversation include:Optimizing with Confidence: Understand the input-output relationships qualitatively and quantitatively. Frame confidence spaces and align them with the design space for robust models.Strategic Experimentation: Uncover the fine line between modeling and experimental work. Learn how to use computational models to design optimally informative experiments, saving both time and resources.Balancing Act with Data: Navigate the delicate balance between adding value to model development programs and not overwhelming companies with excessive data demands.Join us as we explore the transformative power of computational models in the biopharma sector, unlocking new possibilities for process optimization and efficiency.Contact Ioscani Jiménez del Val:Twitter: @UcdCellLinkedIn: https://www.linkedin.com/in/ioscanijWebsite: https://people.ucd.ie/ioscani.jimenezdelval