Samuel Callisto, Ph.D.

Research Scientist II

Samuel joined MetrumRG in 2019 after earning his PhD in Experimental and Clinical Pharmacology with an emphasis in Pharmacometrics from the University of Minnesota College of Pharmacy. His thesis work focused on modeling cognitive side effects of the anti-epileptic drug topiramate using a combination of pharmacokinetic-pharmacodynamic models and unsupervised machine learning algorithms. While in graduate school he also researched the impact of pharmacogenomics on the pharmacokinetics and pharmacodynamics of multiple drug classes.

Recent publications by this scientist

A showcase of open-source tools for scalable, reproducible PMx workflows

October 31, 2022

Kyle Baron, Sam Callisto, Seth Green, Matthew Riggs. A showcase of open-source tools for scalable, reproducible PMx workflows. Pre Meeting Workshop presented at 2022 American Conference on Pharmacometrics (ACoP13). 30 October 2022.

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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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An Empirical Approach to Identifying Electrophysiological Correlates of Topiramate-Related Working Memory Impairment Using Pharmacokinetic-Pharmacodynamic Modeling

March 29, 2022

Samuel P. Callisto, Christopher M. Barkley, Mark Fiecas, Richard Brundage, Angela K. Birnbaum, Susan E. Marino. Poster presented at 2022 WCOP. March 29 – April 1 2022. Poster 35.

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