Ramon I. Garcia, Ph.D.

Senior Scientist I

Ramon joined Metrum in January 2017. He obtained his Ph.D. in Biostatistics from the University of North Carolina where his dissertation topic was “variable selection in models with missing data using a Bayesian framework”. Ramon did research at the EPA where he investigated identifiability and estimation of physiologically based pharmacokinetic models. Ramon’s interests include model selection and estimation of nonlinear mixed effects models and Bayesian analysis of pharmacokinetic models.

Recent publications by this scientist

Choice of Hyperparameters for Spike And Slab Prior, with Application to Dose Optimization in Oncology

October 16, 2023

This poster highlights the use of population pharmacokinetic and exposure-response models with regularized regression using spike and slab priors to optimize dosing for specific patient subpopulations, particularly focusing on the context of valemetostat treatment for Adult T-cell Leukemia / Lymphoma (ATTLL) and Non-Hodgkin’s lymphoma (NHL).

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The combined use of propensity score matching and a joint tumor growth dynamics (TGD) – Overall Survival (OS) model to benchmark the efficacy of new treatments for advanced renal cell carcinoma (RCC)

July 24, 2023

The present work is to establish feasibility of using a joint tumor growth dynamic model (TGDOS) to extrapolate OS and generate a synthetic control arm from historical data by propensity score modeling.

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Landmark and longitudinal exposure-response analyses for multiple efficacy and safety endpoints to justify the clinical dose of valemetostat for adult T-cell leukemia/lymphoma

December 15, 2022

Masato Fukae, Kyle Baron, James Rogers, Ramon Garcia, Masaya Tachibana, John Mondick, Takako Shimizu. Poster presented at 2022 American Conference on Pharmacometrics (ACoP13). 30 October – November 2 2022. Poster M-026

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