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

Quantitative Systems Pharmacology Modeling of X-linked Hypophosphatemia Disease Pathway Normalization to Predict the Impact of Burosumab Treatment on Serum Biomarkers in Adult and Pediatric Patients

December 6, 2024

Presented at ACoP 2024. The Bone Health QSP model was extended by incorporating XLH disease mechanisms and burosumab impact on serum phosphate and other biomarkers using clinical data from adult and pediatric patients with XLH. The model reproduced clinically observed changes in pharmacodynamic markers in both adult and pediatric patients with XLH; normalization of serum phosphate with burosumab treatment was successfully replicated, facilitating a better understanding of burosumab dosing in patients with XLH going forward. The model could potentially be used to optimize treatment in the clinical setting.

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Scientific Project Management (SPM) to Enhance Model-Informed Drug Development.

December 6, 2024

Presented at ACoP 2024. This poster describes the scientific project management role in MIDD and it’s benefits over a traditional project management approach.

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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.