Matthew M. Riggs, Ph.D., FISoP

Chief Science Officer

Matt offers over 16 years of industry experience including the application of modeling and simulation for clinical pharmacology and later phase drug development decisions. Matt’s interests include the development and application of mechanistic exposure-response and systems pharmacology models to quantitatively integrate physiology, pharmacology, senescence and disease understandings; this to guide translational and clinical research toward improved preventative and interventional therapeutics.

Recent publications by this scientist

Explore MeRGE: the Metrum Research Group Ecosystem

July 12, 2024

Presented at PAGE 2024 – Hands-on Workshop. MeRGE is a suite of freely-available, open-source tools for scalable, reproducible pharmacometric workflows. MeRGE consists of individual but interconnected R packages that support scalability and reproducibility during: project setup, data assembly, data exploration, model development, execution, and evaluation, simulation, and reporting.

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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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Hands-On Tutorial: Introduction to Immuno-Oncology (IO) Quantitative Systems Pharmacology (QSP) Modeling Using the Open Source Julia Programming Language

November 14, 2023

ACoP14 pre-meeting workshop. Highlights include exploring Julia as an open source alternative for QSP support of model-informed drug development, gaining insights into IO QSP modeling for antibody drug conjugate (ADCs) and bispecific mAb (bsAb) therapies to drive your own implementations of Project Optimus, and accessing open source Julia versions of two pivotal IO models and parameterizations.

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