Kyle Barrett

Data Science Engineer II

Kyle joined Metrum in January 2021 as a Data Science Engineer with research and lab experience in PKPD modeling, biological colloids, and image analysis, including a recent focus on software development, creating tools and automating certain processes using R/R Shiny, C++, and HTML/CSS. His programming experience has involved PBPK and PKPD modeling and simulation and R shiny app development, and he has also modeled anaerobic digestion and created numerous other web apps. Kyle intends to expand his knowledge base in software development and further develop skills in data analysis and visualization.

Recent publications by this scientist

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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Development of a dynamic Parkinson’s Disease database with user interface tools as a basis for internal and regulatory decision making

November 14, 2023

Presented at ACoP14. The objective of this work is to integrate multiple PD clinical studies, harmonize the data, and deploy a user interface for rapid data interrogation and analysis subset generation.

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A Suite of Open-Source Tools to Guide Efficient Pharmacometric Analyses

October 28, 2022

Katherine Kay, Kyle Baron, Seth Green, Samuel Callisto, Curtis Johnston, Kyle Barrett, Devin Pastoor, Jim Rogers, Ana Ruiz-Garcia, Tim Waterhouse, Matthew Wiens, Matthew Riggs. Poster presented at 2022 American Conference on Pharmacometrics (ACoP13). 30 October – November 2 2022. Poster M-062

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