Tim Waterhouse, Ph.D.

Group Leader Statistics, Principal Scientist II

Tim joined Metrum in 2019, bringing 12 years of experience in the pharmaceutical industry. He attained his Ph.D. in Statistics from the University of Queensland, where he applied optimal design methods to PK/PD models. He then worked at Eli Lilly and Company in the PK/PD & Pharmacometrics department, using modeling and simulation to inform decision making in all phases of drug development across a range of therapeutic areas.

Recent publications by this scientist

bbr.bayes: An Open-Source Tool to Facilitate an Efficient, Reproducible Bayesian Workflow Using NONMEM

July 8, 2024

Presented at PAGE 2024. The bbr.bayes package reduces much of the friction associated with a Bayesian pharmacometrics analysis in NONMEM® and promotes good practice applications. 

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Bayesian Semi-Parametric Approaches to Exposure-Response Modeling with Time-to-Event Outcomes

December 12, 2023

Introduction to exposure-response (E-R) concepts. Presented at the 79th Annual Deming Conference on Applied Statistics.

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Bayesian estimation in NONMEM

December 11, 2023

In this tutorial, the principles of Bayesian model development, assessment and prior selection are outlined. An example pharmacokinetic model is used to demonstrate the implementation of Bayesian modeling using the nonlinear mixed-effects modeling software NONMEM.

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