Jonathan French, Sc.D.

Group Leader, Fellow I

Jonathan has over 10 years of drug development experience. He began his career as a project statistician; designing, analyzing and interpreting clinical trials in depression and ADHD. His primary areas of expertise range from model-based meta-analysis and applied Bayesian methods to modeling time-to-event data and missing data mechanisms.

Recent publications by this scientist

Quantitative Understanding of the Longitudinal Relationship between Short-term MRI Outcomes and Long-term Clinical Outcomes Measures in Multiple Sclerosis

February 7, 2022

Matthew Wiens, Amir-Hadi Maghzi, Naveen Mangal, Kumar Kandadi Muralidharan, Himanshu Naik, Jonathan French, Francois Gaudreault. Poster presented at 2021 American Conference on Pharmacometrics (ACoP12) virtual meeting. 8-13 November 2021. Poster PIIIB-009.

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Disease Trajectory modeling of SLE clinical endpoints using a Latent Variable Model: Analysis of Pooled Patient-Level Placebo (Standard-of-Care) Data

February 4, 2022

Kosalaram Goteti, Jonathan French, Ramon Garcia, Ying Li, Florence Casset-Semanaz, Aida Aydemir, Robert Townsend, Cristina Vazquez Mateo, Matthew Studham, Oliver Gunther, Amy Kao, Marc Gastonguay, Pascal Girard, Lisa Benincosa, Karthik Venkatakrishnan. Poster presented at 12th American Conference on Pharmacometrics (ACoP), November 2021. Poster PIB-011.

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Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab

February 4, 2022

Terranova NFrench JDai H, et al. CPT Pharmacometrics Syst Pharmacol2022001– 15. doi:10.1002/psp4.12754

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