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This workshop aims to equip graduate students and postdoctoral fellows in mathematics and related disciplines with the tools necessary to solve common problems encountered in the pharmaceutical industry. The focus will be on development of pharmacometric skills to approach questions centred on drug development and dose/therapy optimization using a variety of state-of-the-art quantitative systems pharmacology (QSP) methodologies, also known as systems modeling. Participants will receive training in QSP approaches, including the principles of pharmacokinetics and pharmacodynamics (PK/PD), from academic and industrial researchers, and will apply these techniques in groups to solve a set of problems brought by industry partners. At the end of the week, participants will be able to identify the main components of a pharmaceutical problem through a QSP lens, translate these elements mathematically, analyze/numerically implement and solve the resulting mathematical model, and deliver results (visually and textually) to non-mathematicians. Ultimately, participants will gain understanding into the factors that are key to mathematical modeling in the pharmaceutical industry and be trained in modern QSP approaches.