Kyle T. Baron, Pharm.D., Ph.D.

Group Leader PKPD, Principal Scientist II

Kyle joined MetrumRG in 2010 after receiving his Pharm.D. and Ph.D. in Experimental and Clinical Pharmacology from the University of Minnesota. As a member of our translational and systems pharmacology group, Kyle has worked to support sponsor development programs in a variety of therapeutic areas, including chronic hepatitis C infection, HIV, calcium homeostasis and bone health, type-2 diabetes, and cystic fibrosis.

Kyle is the developer and maintainer of mrgsolve (https://mrgsolve.github.io) and also leads workshops at all levels to guide other M&S scientists in the effective use of this simulation tool in PKPD, PBPK, and QSP modeling. Kyle also serves as adjunct faculty in Experimental and Clinical Pharmacology at the University of Minnesota.

Recent publications by this scientist

Simulating Dynamic Adaptive Dosing Regimens from PK and PKPD Models Using mrgsolve

December 6, 2024

Presented at ACoP 2024. This poster describes additions to mrgsolve to facilitate adaptive dosing simulations. A case study is also presented where these tools were utilized to evaluate dose adjustment guidance for valemetostat in patients with non-Hodgkin lymphoma.

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Accounting For Dose Modifications In Exposure-Response Analyses In Oncology: The Case Example Of Brigimadlin.

December 6, 2024

Presented at ACoP 2024. A Bayesian model of the probability of dose modification as a function of platelet and neutrophil counts was developed to characterize the dynamic and probabilistic nature of dose decisions. The dose modification model was successfully integrated into a dynamic simulation framework accounting for the impact of safety on dose.

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pmparams: an R Package for Defining and Formatting Parameter Tables in Pharmacometric Modeling

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)

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