Senior Research Scientist,
Stochastic Numerics Research Group
Tuesday, March 25, 2014, 11:00
- 12:00
Building 9, Room 4222
Contact Person
In many problems in science and engineering, one would like to perform inference on parametric fields, of space and/or time, in order to reduce uncertainties and improve predictive capabilities, for example, the computation of quantities of interest such as outputs of the model or various expectations thereof. Examples of such fields include the initial condition of fluid dynamical equations in the context of numerical weather prediction and oceanography, the permeability and porosity of multiphase subsurface flow in the context of oil exploration, or the forcing of a stochastic dynamical system in the context of molecular dynamics.