William R. Gillespie, Ph.D.

Fellow I

For over 20 years Bill has been involved in the development and application of pharmacometric methodology for enhancing drug treatment, development and regulation. His current interests include the use of Bayesian modeling and simulation to optimize decision-making in clinical drug development and treatment. He plans to make Bayesian modeling and simulation methods more accessible via training programs and development of software tools.

Recent publications by this scientist

Speed up population Bayesian inference by combining cross-chain warmup and within-chain parallelization

November 4, 2020

Yi Zhang, William R. Gillespie, Ben Bales, Aki Vehtari.  Poster presented at 2020 American Conference on Pharmacometrics (ACoP11) virtual meeting. 11 November 2020.


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A completely open-source pharmacometrics tool set: Moving from vision to reality with R, mrgsolve and Stan/Torsten

November 18, 2019

Presentation by Marc Gastonguay, Ph.D. and William Gillespie, Ph.D., at 2019 American Conference on Pharmacometrics (ACoP10) in Orlando, FL during the tutorial: Pharmacometrics Goes Open-Source. 24 October 2019.

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Torsten: Stan functions for pharmacometric applications. New functionality including within chain parallel computation.

June 13, 2019

Zhang Y,  Gillespie W. Poster presented at 2019 Population Approach Group in Europe (PAGE). Stockholm, Sweden. 13 June 2019. Abstract IV-29.

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