Megan Cala Pane, Ph.D.

Research Scientist II

Megan joined Metrum Research Group in August of 2022. She earned her PhD in Chemical Engineering from the University of Pittsburgh in 2020 where her dissertation research was focused on developing a multiphase and multiscale computational model of blood coagulation. She then completed a postdoctoral fellowship in pharmacometrics with the Quantitative Medicine program at the Critical Path Institute and contributed to the development of their Rare Disease Cures Accelerator Data and Analytics Platform.

Recent publications by this scientist

Reinforcement Learning for Pharmacometrics: A Proof of Concept and Future Directions.

December 6, 2024

Presented at ACoP 2024. A proof-of-concept was conducted using deep reinforcement learning to optimize vancomycin dosing based on predicted PK profiles. The reinforcement learner was able to produce dose recommendations that (on average) exceeded the standard-of-care recommended dose, and future opportunities for using reinforcement learning within pharmacometrics are vast with a large potential for impact through personalized dosing.

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Data Gaps, Model Mishaps: Quantifying the Impact of Missing Pharmacometrics Data on Pharmacodynamic Projections.

December 6, 2024

Presented at ACoP 2024. In this analysis aimed to evaluate the ability to estimate robust population PD parameters and a landmark endpoint in different scenarios. In the primary workflow different levels of missing PK data were tested. Additionally, varying degrees of of individual-level and residual variability were tested. Finally, scenarios with smaller populations were tested. In all scenarios, PD parameters and endpoints could be estimated with adequate accuracy and precision.

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Landscape analysis for a neonatal disease progression model of bronchopulmonary dysplasia: Leveraging clinical trial experience and real-world data

October 25, 2022

Jeffrey S. Barrett, Megan Cala Pane, Timothy Knab, William Roddy, Jack Beusmans, Eric Jordie, Kanwaljit Singh, Jonathan Michael Davis, Klaus Romero, Michael Padula, Bernard Thebaud, Mark Turner. Front. Pharmacol. 2022 October 12. doi: 10.3389/fphar.2022.988974

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