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.
April 14, 2025
This paper contributes to the oncology MIDD field by using robust exposure-response modeling to identify the optimal dosing regimen for HER3-DXd in EGFR-mutated NSCLC. Analyzing data from over 700 patients across four studies, it demonstrates that 5.6 mg/kg Q3W offers a favorable balance of efficacy and safety. The analysis incorporates patient covariates and compares fixed and up-titration regimens, supporting data-driven selection. These methods align closely with the goals of Project Optimus, emphasizing the importance of modeling and simulation in selecting doses that are both effective and tolerable, rather than defaulting to the maximum tolerated dose.
March 25, 2025
Presented at the Indiana CTSI Pharmacometrics Modeling and Simulation Symposium 2025. Dr. Tim Waterhouse explores the complexities of modeling an antibody-drug conjugate (ADC) for targeted cancer treatment, covering pharmacokinetics models with multiple clearance pathways and exposure-response models in a Bayesian framework.
December 6, 2024
Presented at ACoP 2024. A longitudinal joint model of modified mayo scores and dropout for patients with ulcerative colitis receiving etrasimod was developed in two Phase 3 studies. This poster presents the development of the model in a Bayesian framework, illustrating the ability of the model to adequately describe changes in efficacy scores in the presence of a spike in dropout at the end of a maintenance phase.