Matthew Wiens, M.A.

Senior Scientist II

Matthew joined Metrum in 2019 as a Research Scientist. He holds an M.A. in Statistics from Boston University. Prior to Metrum, he worked for a variety of startup technology companies where he applied Bayesian methodologies in predictive models based on remote sensing data. His ongoing interests include communicating and leveraging uncertainty from a Bayesian perspective in scalable modeling and simulation projects.

Recent publications by this scientist

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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A Machine Learning and Statistical Meta-Analysis for Trial Simulations Predicting Transitions from Relapsing-Remitting to Secondary Progressive Multiple Sclerosis

October 28, 2022

Matthew Wiens, Kyle Barrett, Amir-Hadi Maghzi, Jonathan French, Himanshu Naik, Jackson Burton. Poster presented at 2022 American Conference on Pharmacometrics (ACoP13). 30 October – November 2 2022. Poster M-055

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A Model-Based Meta-Analysis for Treatment-Modified Disease Progression in Multiple Sclerosis.

October 28, 2022

Matthew Wiens, Amir-Hadi Maghzi, Naveen Mangal, Kumar Kandadi Muralidharan, Francois Gaudreault, Jackson Burton, Jonathan French, Himanshu Naik. Poster presented at 2022 American Conference on Pharmacometrics (ACoP13). 30 October – November 2 2022. Poster M-053

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