Fast and Flexible Differential Equation Model Fitting with Application to Pharmacometrics

We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, (2) developing new inference engines for rapid approximate Bayesian analysis, (3) developing new software tools for pharmacometric data manage- ment, visualization of modeling results, and report generation, and (4) integrating these components with Metrums commercial METWORX platform that allows for on-demand, auto- scaling, distributed cloud computing in a regulatory compliant workflow.