Hillary Husband, Ph.D.

Research Scientist I

Hillary joined MetrumRG in 2021 after earning her MS in Mathematics and PhD in Engineering from Louisiana Tech University. Her thesis work centered on utilizing physiologically based pharmacokinetic modeling for therapeutic drug monitoring. She has research experience in PK/PD modeling, survival analysis, item response theory modeling, and R package development. Hillary is excited to join Metrum because of a shared enthusiasm for open science and cross-disciplinary collaboration.

Recent publications by this scientist

Illustrating Integration and Interpretation of the Deep Compartment Model Approach using Keras and R in a Population PK Modeling Analysis

November 14, 2023

Presented at ACoP14. Deep compartment models (DCMs) are a proposed alternative to traditional nonlinear mixed effect (NLME) pharmacometrics approaches [1]. DCM uses neural networks to represent estimated pharmacokinetic parameters which can then be used in either closed-form or ordinary differential equation (ODE)-based representations of pharmacokinetic models

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