## Research

My general area of research is **uncertainty quantification**, at the intersection of applied mathematics, probability, statistics, and computational science.
A common theme underlying many of my current research interests is to add ‘the right amount of uncertainty’ to an otherwise certain or near-certain prediction, in order to correctly compensate for over-confidence in the modelling process.
My approach to research rests on three principles and goals: to **ask the right question**, to **answer it correctly**, and to **answer it efficiently**.