Manager, Applied Data Science
Eric joined MetrumRG in May of 2017. He holds an M.S. in Mathematics from the University of Connecticut. Prior to joining MetrumRG, Eric worked in the areas of Analytics and Economic Research in the insurance industry for over five years. His experience includes statistical programming, creating insight-driven data visualizations, and developing application based user interfaces.
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.
December 6, 2024
Presented at ACoP 2024. Early drug development decision making, such as the definition and assessment of target product profile characteristics, rarely includes pharmacoeconomic (PE) considerations. The disciplines of phamacometrics (PM) and PE are closely aligned and intersect at the goal of a quantitative understanding of the system. Connection of these two disciplines is a logical extension of typical PM objectives and should lead to a more complete and accurate understanding of the probability of success for new therapeutics.
November 13, 2024
Presented at ACoP 2024. The aim was to provide a simple, reproducible, and traceable method for generating parameter tables in R for NONMEM. models. Attainedvia a new package (pmparams): a stable and easy-to-use tool intended to integrate with, and extend the functionality of, existing packages in the Metrum Research Group Ecosystem (MeRGE)