Advancing Lean Chemometrics: Iterative Optimization Technology as a Process Analytical Technology Tool for Reducing Calibration Burden
The challenge of developing and maintaining robust chemometric models for use within Process Analytical Technology (PAT) deployment remains a significant barrier to implementation. This webinar explores how Iterative Optimization Technology (IOT) is advancing the principles of lean chemometrics by reducing the calibration burden associated with PAT deployment. Case studies will demonstrate how these methods enable faster model deployment, improved lifecycle management, and greater operational efficiency without compromising product quality or process understanding. Attendees will gain insights into how innovative chemometric strategies can accelerate PAT adoption while supporting the industry's drive towards agile, data-driven manufacturing.
Learning Points
- You will learn how lean chemometrics reduces model complexity and data requirements
- Discover how to simplify model deployment and lifecycle management
- Explore how to accelerate PAT adoption while maintaining process understanding and quality
Who should attend
- Process development and MSAT teams scaling processes to manufacturing
- PAT scientists and analytical experts developing chemometric models
- Lab managers driving efficient and scalable PAT implementation
- Development and manufacturing and digitalization leaders advancing data-driven operations
Presenter: Jonique Samuels (Scientific Advisor for Innovations, SciY)
Jonique Samuels is a Scientific Advisor for Innovations at SciY where she leads research and development projects on new, novel functionality for synTQ, the orchestration and real-time process-control platform that enables PAT and advanced, quality-centric control strategies. Currently, Jonique's focus is on supporting sustainability initiatives with customers, which includes investigating and developing lean chemometrics methods.
Presenter: Anna Codina, Ph.D. ( Senior Director Strategy and Business Development, SciY)
Anna Codina is Senior Director of Strategy and Business Development at SciY, where she focuses on enabling data-driven orchestration across the pharmaceutical value chain. With a background in experimental science, analytical development, and digital innovation, she works at the intersection of data, automation, and AI to accelerate scientific workflows and decision-making.
Anna holds a Ph.D. in protein NMR from the University of Barcelona and completed postdoctoral research at the MRC Laboratory of Molecular Biology in Cambridge. She spent seven years in Analytical R&D at Pfizer, specializing in reaction monitoring, impurity characterization, and regulatory submissions, and was recognized with a Pfizer Worldwide Achievement Award for implementing NMR-based reaction monitoring in an open-access environment.
Since joining Bruker, Anna has held multiple leadership roles across applications, product management, and biopharma business development and market management. In her current role at SciY, she drives strategy for vendor-agnostic data platforms and digital solutions that connect instruments, robotics, and enterprise systems enabling orchestration, AI-powered experimentation and scalable workflows across R&D, CROs/CDMOs, and manufacturing.
