John D Jakeman

High-fidelity simulation is essential for increasing scientific understanding, prediction and design of complex systems. However producing credible answers from simulation, requires the quantification of the model uncertainties. I am passionate about combining the powers of mathematics, engineering and machine learning to address the needs of simulation based knowledge discovery. I am founding developer of the Python software package PyApprox https://sandialabs.github.io/pyapprox