Cole Zmurchok, Ph.D.

Group Leader QSP Principal Scientist I

Cole Zmurchok joined Metrum Research Group in 2025 as a Group Leader in Quantitative Systems Pharmacology. He advances model-informed drug development through the creation of mechanistic systems pharmacology models. Cole brings industry experience in applying modeling and simulation approaches to the development of antibody and cellular therapies, gained during his time at AbCellera and Notch Therapeutics. His academic background includes postdoctoral research at Vanderbilt University, where he investigated pattern formation in biological systems. He earned a PhD in Mathematics from the University of British Columbia in 2018, with a focus on multi-scale modeling of cell biology. Cole is an active member of the applied mathematics community, currently serving as Secretary of the Society for Industrial and Applied Mathematics’ Activity Group on the Life Sciences.

Recent publications by this scientist

Comparison of Virtual Population Generation Methods for Quantitative Systems Pharmacology Models

October 6, 2026

Andrew Tredennick¹, Matthew Weins¹, Timothy Knab¹, Cole Zmurchok¹, Ahmed Elmokadem²
¹ Metrum Research Group, Boston, MA, USA; ² GlaxoSmithKline (GSK), Collegeville, PA, USA

Presented at the 2026 American Conference on Pharmacometrics (ACoP 2026), an International Conference on Pharmacometrics in the US (ICoP – US), on October 14th, 2026.

Virtual populations (VPops) are widely used in quantitative systems pharmacology (QSP) to represent variability in clinical populations and support model calibration and simulation of treatment outcomes. Practical guidance on selecting among algorithms to generate VPops, and understanding their relative performance, remains limited. The objective of this work was to compare commonly used and emerging VPop generation approaches based on data-simulation matching and computation time.

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