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

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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Connecting ISoP with Statisticians: An Introduction to the Biopharmaceutical Section of the American Statistical Association

November 14, 2023

Presented at ACoP14. The American Statistical Association (ASA) comprises regional chapters and specialized sections, including the Biopharmaceutical Section (BIOP), established in 1981. BIOP focuses on applying statistics to drug development, biologics, devices, and related technologies in humans and animals. Initially created to connect ISoP and ASA, SxP employs innovative statistical methods to address similar inquiries, despite using distinct terminologies and assumptions in modeling. This poster offers insight into BIOP’s history, objectives, organization, and avenues for involvement or contacting its members.

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