Phyllis Pugh, Ph.D., is a Scientist II at AstraZeneca in Frederick, Maryland, specializing in cellular biology combined with advanced data analytics to drive innovation in biopharmaceutical manufacturing. With a doctorate from the University of California, San Diego, and a solid background in ligand binding, microscopy, and experimental research, Phyllis applies predictive analytics to enhance manufacturing processes. Her work focuses on leveraging system connectivity, digital twins, and machine learning to optimize process performance and maintain product quality. At Future Labs Live, Phyllis will present on harnessing integrated digital technologies to enable agile, resilient, and compliant pharmaceutical production environments.
Achieving a truly connected factory requires seamless integration of next-generation automation with predictive analytics to transform biopharmaceutical manufacturing. This presentation will explore how system connectivity, digital twins, and adaptive process controls enable end-to-end data visibility and real-time decision-making across complex operations. We will discuss the deployment of machine learning and advanced analytics to predict equipment health, optimize process performance, and ensure robust product quality. By examining such real-world applications and emerging trends, we will demonstrate how this digital transformation supports greater agility, resilience, and compliance—ultimately enabling the rapid, reliable delivery of innovative medicines to patients worldwide.
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