Speaker
Description
Sandoz, a global leader in generic pharmaceuticals and biosimilars, is deeply invested in leveraging advanced mathematical and data-driven methodologies to enhance drug development, manufacturing efficiency, and patient access. With operations spanning over 100 countries, Sandoz integrates applied mathematics across diverse domains - from predictive modelling of physico-chemical processes, optimisation in supply chains, bioinformatics, to digital twin construction. This commitment to scientific rigour and innovation supports its mission to deliver high-quality, affordable medicines worldwide, while fostering collaboration between industry and academia in the pursuit of impactful healthcare solutions.
The lecture will showcase several real-world applications of mathematical techniques - ranging from statistical analysis/modelling and machine learning to numerical methods and optimisation - within the context of generic pharmaceutical development. Case studies will illustrate how these approaches contribute to solving complex challenges such as bioequivalence assessment, similarity/sameness assessment and process optimisation. By highlighting interdisciplinary collaborations and practical outcomes, the talk aims to demonstrate the tangible impact of applied mathematics on accelerating development timelines, improving product quality, and supporting regulatory decision-making.
