Evidence for model-informed dosing
PhD research on dosing, sampling, and implementation evidence for high-risk medicines.
My doctoral research asks what evidence is needed for model-informed dosing tools to be useful in routine clinical care.
The work combines clinical trial simulation, population PK/PD modelling, optimal design, and retrospective assessment of existing model-based dosing frameworks. The emphasis is on decisions that clinicians and health systems actually face: when to sample, when to adapt a dose, and how to communicate uncertainty.
I am especially interested in methods that connect pharmacometric rigour with practical implementation: transparent assumptions, reproducible workflows, and results that clinicians, regulators, and policy readers can interrogate.